Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054823
Ismet Sahin, N. Yilmazer
In this paper, we consider the fundamental period estimation problem for fetal ECG waveforms. In our previous paper, we established a new fundamental period estimator based on the minimization of a cost function which measures the differences between the discrete Fourier transform (DFT) of a fetal ECG waveform and the DFTs of its circularly shifted forms. We showed that the minimization of this cost function is equivalent to finding the cosine waveform which matches best to the ECG power spectrum. In other words, the Euclidean inner product between the optimal cosine waveform and the ECG power spectrum yields the largest value. The negative cycles of regular cosine waveforms cause some mismatch with the ECG power spectrum since the power spectrum has only nonnegative values. In order to deal with this problem, in this paper, we fit half-wave rectified cosine waveforms to the ECG power spectrum since rectified cosine waveforms have also only nonnegative values. With two examples, we demonstrate that this method achieves very accurate estimates for both synthetic and real fetal ECG waveforms when compared to the well-known generalized correlation method and the method with regular cosine waveforms.
{"title":"Fetal heart rate estimation by fitting half-wave rectified cosine functions to power spectra of fetal ecg waveforms","authors":"Ismet Sahin, N. Yilmazer","doi":"10.1109/CISS.2009.5054823","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054823","url":null,"abstract":"In this paper, we consider the fundamental period estimation problem for fetal ECG waveforms. In our previous paper, we established a new fundamental period estimator based on the minimization of a cost function which measures the differences between the discrete Fourier transform (DFT) of a fetal ECG waveform and the DFTs of its circularly shifted forms. We showed that the minimization of this cost function is equivalent to finding the cosine waveform which matches best to the ECG power spectrum. In other words, the Euclidean inner product between the optimal cosine waveform and the ECG power spectrum yields the largest value. The negative cycles of regular cosine waveforms cause some mismatch with the ECG power spectrum since the power spectrum has only nonnegative values. In order to deal with this problem, in this paper, we fit half-wave rectified cosine waveforms to the ECG power spectrum since rectified cosine waveforms have also only nonnegative values. With two examples, we demonstrate that this method achieves very accurate estimates for both synthetic and real fetal ECG waveforms when compared to the well-known generalized correlation method and the method with regular cosine waveforms.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132269344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054687
Ismet Sahin, N. Yilmazer
In this paper, we consider the estimation of time delays between multiple waveforms which are delayed forms of a single waveform. We use a previously defined cost function whose minimization is achieved through applying linear phase shift operators to the discrete Fourier transforms (DFTs) of the waveforms. The optimal phase shift operators result in the least differences between the phase shifted DFTs of the waveforms in the frequency domain. The time delays associated with the optimal phase shift operators become the optimal time delays between these waveforms. We demonstrate that the matrix form of the cost function is symmetric and has all zero diagonal entries. Therefore, by using these two features, we achieve a considerable reduction in the computational complexity of the optimization problem without losing accuracy. Performance investigation with six noisy speech waveforms shows that this procedure is very accurate and computationally efficient even under very noisy conditions.
{"title":"Reducing computational complexity of time delay estimation method using frequency domain alignment","authors":"Ismet Sahin, N. Yilmazer","doi":"10.1109/CISS.2009.5054687","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054687","url":null,"abstract":"In this paper, we consider the estimation of time delays between multiple waveforms which are delayed forms of a single waveform. We use a previously defined cost function whose minimization is achieved through applying linear phase shift operators to the discrete Fourier transforms (DFTs) of the waveforms. The optimal phase shift operators result in the least differences between the phase shifted DFTs of the waveforms in the frequency domain. The time delays associated with the optimal phase shift operators become the optimal time delays between these waveforms. We demonstrate that the matrix form of the cost function is symmetric and has all zero diagonal entries. Therefore, by using these two features, we achieve a considerable reduction in the computational complexity of the optimization problem without losing accuracy. Performance investigation with six noisy speech waveforms shows that this procedure is very accurate and computationally efficient even under very noisy conditions.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133775971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054761
A. Tantawy, X. Koutsoukos, Gautam Biswas
The decentralized detection performance, using wireless passive sensor networks, is analyzed according to the minimum probability of error criterion. Passive sensors communicate their measurements to the reader using data network packets, and therefore, the two main phenomena affecting the detection performance are packet loss and packet delay. In this paper, we formulate the decentralized detection problem with passive sensors and show that the optimal decision rule with packet loss is the likelihood ratio test. We present a comparative analysis study between detection with ideal and non-ideal channels, for the problem of DC level detection in White Gaussian Noise. We validate the analytical results using Monte Carlo Simulation study. Finally, we present a simple scheme for adaptive detector design, to restore the original detection performance, with the cost of increasing the delay for detection.
{"title":"Maximum likelihood detection with intermittent observations","authors":"A. Tantawy, X. Koutsoukos, Gautam Biswas","doi":"10.1109/CISS.2009.5054761","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054761","url":null,"abstract":"The decentralized detection performance, using wireless passive sensor networks, is analyzed according to the minimum probability of error criterion. Passive sensors communicate their measurements to the reader using data network packets, and therefore, the two main phenomena affecting the detection performance are packet loss and packet delay. In this paper, we formulate the decentralized detection problem with passive sensors and show that the optimal decision rule with packet loss is the likelihood ratio test. We present a comparative analysis study between detection with ideal and non-ideal channels, for the problem of DC level detection in White Gaussian Noise. We validate the analytical results using Monte Carlo Simulation study. Finally, we present a simple scheme for adaptive detector design, to restore the original detection performance, with the cost of increasing the delay for detection.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125966522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054727
Wei-Yu Chen, Scott L. Miller
Wireless geolocation problems based on received signal strength (RSS) are discussed in this paper. Using the maximum likelihood based range estimates, a new distributed and iterative linear combination location estimator is proposed. In a non-cooperative case where unknown-location (blindfolded) devices only utilize the power measurements from known-location devices (anchors), the proposed algorithm has a similar error performance to the maximum likelihood estimator but the computation time is much less. In cooperative localization, a blindfolded node uses information from not only anchors but also other blindfolded nodes. After being compared with the distributed maximum likelihood estimator and the distributed weighted-multidimensional scaling (dwMDS) method, it is recognized that the estimator performs well in accuracy, computation time, and the use of wireless transmissions under various wireless environments.
{"title":"Distributed linear combination estimators for localization based on received signal strength in wireless networks","authors":"Wei-Yu Chen, Scott L. Miller","doi":"10.1109/CISS.2009.5054727","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054727","url":null,"abstract":"Wireless geolocation problems based on received signal strength (RSS) are discussed in this paper. Using the maximum likelihood based range estimates, a new distributed and iterative linear combination location estimator is proposed. In a non-cooperative case where unknown-location (blindfolded) devices only utilize the power measurements from known-location devices (anchors), the proposed algorithm has a similar error performance to the maximum likelihood estimator but the computation time is much less. In cooperative localization, a blindfolded node uses information from not only anchors but also other blindfolded nodes. After being compared with the distributed maximum likelihood estimator and the distributed weighted-multidimensional scaling (dwMDS) method, it is recognized that the estimator performs well in accuracy, computation time, and the use of wireless transmissions under various wireless environments.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126044627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054806
A. Kir, Joel M. Morris
A mid-IR laser-based gas sensing system based on Laser-based spectroscopy (LAS) is an important application in numerous fields. We used detection theory to develop a generic statistical analysis model for mid-IR gas sensing systems to compute the different performance probabilities. A signal strength measure, ΔSNR , is defined to address the detection problem for the gas sensing system and to perform detection improvement analysis.
{"title":"On a statistical analysis model of mid-IR gas sensing systems","authors":"A. Kir, Joel M. Morris","doi":"10.1109/CISS.2009.5054806","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054806","url":null,"abstract":"A mid-IR laser-based gas sensing system based on Laser-based spectroscopy (LAS) is an important application in numerous fields. We used detection theory to develop a generic statistical analysis model for mid-IR gas sensing systems to compute the different performance probabilities. A signal strength measure, ΔSNR , is defined to address the detection problem for the gas sensing system and to perform detection improvement analysis.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123423285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054750
Xiangfang Li, Lijun Qian, D. Kataria
In this paper, interference mitigation through downlink power control is considered for Macrocell Femtocell overlay. Specifically, the strong interference in the downlink from the home base station to a nearby macrocell user should be properly controlled such that the quality-of-service of both the macrocell user and the Femtocell users can be guaranteed. In this work, the fundamental capacity limitation of spatial spectrum sharing among a macrocell user and a Femtocell user is identified. A downlink power control problem is formulated to address the co-channel interference, as well as provide quality-of-service to both the macrocell user and the Femtocell users. The feasibility condition of the problem is derived and both centralized and distributed solutions are provided. Because the co-channel interference are from heterogeneous cells, a joint power control, channel management and admission control procedure is suggested such that the priority of the macrocell users is always ensured. Simulation results demonstrate the effectiveness of the proposed schemes.
{"title":"Downlink power control in co-channel macrocell femtocell overlay","authors":"Xiangfang Li, Lijun Qian, D. Kataria","doi":"10.1109/CISS.2009.5054750","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054750","url":null,"abstract":"In this paper, interference mitigation through downlink power control is considered for Macrocell Femtocell overlay. Specifically, the strong interference in the downlink from the home base station to a nearby macrocell user should be properly controlled such that the quality-of-service of both the macrocell user and the Femtocell users can be guaranteed. In this work, the fundamental capacity limitation of spatial spectrum sharing among a macrocell user and a Femtocell user is identified. A downlink power control problem is formulated to address the co-channel interference, as well as provide quality-of-service to both the macrocell user and the Femtocell users. The feasibility condition of the problem is derived and both centralized and distributed solutions are provided. Because the co-channel interference are from heterogeneous cells, a joint power control, channel management and admission control procedure is suggested such that the priority of the macrocell users is always ensured. Simulation results demonstrate the effectiveness of the proposed schemes.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130353239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054723
Jinjing Jiang, John Z. Yu, Cong Shen
In this paper, we consider the throughput scaling laws for the dual-radio random wireless networks under the well-known protocol model[4]. The dual-radio network is one kind of heterogeneous wireless network, where some among the n nodes in the network are equipped with a secondary wireless interface, which has stronger connectivity and larger data transmission capability than the first normal wireless interface. The dual-radio networks provide a tradeoff and optimization between the hybrid wireless networks with wired infrastructure assistance (e.g., cellular networks) and the pure ad hoc wireless networks (e.g., sensor networks). Our analysis leads to improved results with a much finer lower bound on the throughput compared with the one shown in [1] using the max-flow min-cut theorem. The main results provide the throughput scaling laws, which bridge over the gap of throughput between the ad hoc networks and the hybrid networks. It is shown that the expected throughput increment of the dual-radio networks over the ad hoc networks by the additional wireless interfaces is mainly determined and dominated by the the capacity of the per pair dual-radio nodes, which form the congestion points.
{"title":"Throughput scaling laws for dual-radio random wireless networks","authors":"Jinjing Jiang, John Z. Yu, Cong Shen","doi":"10.1109/CISS.2009.5054723","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054723","url":null,"abstract":"In this paper, we consider the throughput scaling laws for the dual-radio random wireless networks under the well-known protocol model[4]. The dual-radio network is one kind of heterogeneous wireless network, where some among the n nodes in the network are equipped with a secondary wireless interface, which has stronger connectivity and larger data transmission capability than the first normal wireless interface. The dual-radio networks provide a tradeoff and optimization between the hybrid wireless networks with wired infrastructure assistance (e.g., cellular networks) and the pure ad hoc wireless networks (e.g., sensor networks). Our analysis leads to improved results with a much finer lower bound on the throughput compared with the one shown in [1] using the max-flow min-cut theorem. The main results provide the throughput scaling laws, which bridge over the gap of throughput between the ad hoc networks and the hybrid networks. It is shown that the expected throughput increment of the dual-radio networks over the ad hoc networks by the additional wireless interfaces is mainly determined and dominated by the the capacity of the per pair dual-radio nodes, which form the congestion points.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"116 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129064253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054713
Jia Meng, Husheng Li, Zhu Han
Compressive sensing is a revolutionary idea proposed recently to achieve much lower sampling rate for sparse signals. For large wireless sensor networks, the events are relatively sparse compared with the number of sources. Because of deployment cost, the number of sensors is limited, and due to energy constraint, not all the sensors are turned on all the time. In this paper, the first contribution is to formulate the problem for sparse event detection in wireless sensor networks as a compressive sensing problem. The number of (wake-up) sensors can be greatly reduced to the similar level of the number of sparse events, which is much smaller than the total number of sources. Second, we suppose the event has the binary nature, and employ the Bayesian detection using this prior information. Finally, we analyze the performance of the compressive sensing algorithms under the Gaussian noise. From the simulation results, we show that the sampling rate can reduce to 25% without sacrificing performance. With further decreasing the sampling rate, the performance is gradually reduced until 10% of sampling rate. Our proposed detection algorithm has much better performance than the l1-magic algorithm proposed in the literature.
{"title":"Sparse event detection in wireless sensor networks using compressive sensing","authors":"Jia Meng, Husheng Li, Zhu Han","doi":"10.1109/CISS.2009.5054713","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054713","url":null,"abstract":"Compressive sensing is a revolutionary idea proposed recently to achieve much lower sampling rate for sparse signals. For large wireless sensor networks, the events are relatively sparse compared with the number of sources. Because of deployment cost, the number of sensors is limited, and due to energy constraint, not all the sensors are turned on all the time. In this paper, the first contribution is to formulate the problem for sparse event detection in wireless sensor networks as a compressive sensing problem. The number of (wake-up) sensors can be greatly reduced to the similar level of the number of sparse events, which is much smaller than the total number of sources. Second, we suppose the event has the binary nature, and employ the Bayesian detection using this prior information. Finally, we analyze the performance of the compressive sensing algorithms under the Gaussian noise. From the simulation results, we show that the sampling rate can reduce to 25% without sacrificing performance. With further decreasing the sampling rate, the performance is gradually reduced until 10% of sampling rate. Our proposed detection algorithm has much better performance than the l1-magic algorithm proposed in the literature.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127759481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054725
Sheng-Luen Wei, J. Shynk
In cellular wideband code-division multiple-access (WCDMA) systems, several transmitted data sequences can be separated because of the unique spreading codes which are designed to be orthogonal. However, cochannel interference and multipath propagation usually destroy this orthogonality at the receiver. We present a composite cyclodespreader that compensates for this distortion by exploiting the cyclostationary property of WCDMA signals, and uses a minimum mean-squareerror criterion to compute a composite despreading code. A semiblind beamformer that utilizes estimated physical channels as an extended training sequence is also employed in the receiver to improve the interference rejection capability in a high interference environment.
{"title":"A composite cyclodespreader and semiblind beamformer for WCDMA","authors":"Sheng-Luen Wei, J. Shynk","doi":"10.1109/CISS.2009.5054725","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054725","url":null,"abstract":"In cellular wideband code-division multiple-access (WCDMA) systems, several transmitted data sequences can be separated because of the unique spreading codes which are designed to be orthogonal. However, cochannel interference and multipath propagation usually destroy this orthogonality at the receiver. We present a composite cyclodespreader that compensates for this distortion by exploiting the cyclostationary property of WCDMA signals, and uses a minimum mean-squareerror criterion to compute a composite despreading code. A semiblind beamformer that utilizes estimated physical channels as an extended training sequence is also employed in the receiver to improve the interference rejection capability in a high interference environment.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129970574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-03-18DOI: 10.1109/CISS.2009.5054780
B. Narasimhan, S. Narayanan, N. Al-Dhahir, H. Minn
Direct-conversion Orthogonal Frequency Division Multiplexing (OFDM) systems suffer from transmit and receive analog processing impairments such as In-phase/ Quadrature (I/Q) imbalance causing Inter-Carrier Interference (ICI) between the sub-carriers. Another source of performance-limiting ICI, but with a different nature, in OFDM systems is Doppler spread due to mobility. Unlike previous work which considered these two problems separately, we develop a generalized analytical framework to characterize, estimate and jointly mitigate ICI due to both I/Q imbalance and high mobility. Based on our general model, we exploit the special ICI structure to design efficient channel and I/Q imbalance parameter estimation and digital baseband compensation schemes for joint transmit/receive frequency-independent and frequency-dependent I/Q imbalance under high-mobility conditions. Moreover, we extend the model, compensation and channel estimation methods to the Multiple Input Multiple Output (MIMO) case, Spatial Multiplexing (SM) in particular.
{"title":"Digital baseband compensation of joint TX/RX frequency-dependent I/Q imbalance in mobile MIMO-OFDM transceivers","authors":"B. Narasimhan, S. Narayanan, N. Al-Dhahir, H. Minn","doi":"10.1109/CISS.2009.5054780","DOIUrl":"https://doi.org/10.1109/CISS.2009.5054780","url":null,"abstract":"Direct-conversion Orthogonal Frequency Division Multiplexing (OFDM) systems suffer from transmit and receive analog processing impairments such as In-phase/ Quadrature (I/Q) imbalance causing Inter-Carrier Interference (ICI) between the sub-carriers. Another source of performance-limiting ICI, but with a different nature, in OFDM systems is Doppler spread due to mobility. Unlike previous work which considered these two problems separately, we develop a generalized analytical framework to characterize, estimate and jointly mitigate ICI due to both I/Q imbalance and high mobility. Based on our general model, we exploit the special ICI structure to design efficient channel and I/Q imbalance parameter estimation and digital baseband compensation schemes for joint transmit/receive frequency-independent and frequency-dependent I/Q imbalance under high-mobility conditions. Moreover, we extend the model, compensation and channel estimation methods to the Multiple Input Multiple Output (MIMO) case, Spatial Multiplexing (SM) in particular.","PeriodicalId":433796,"journal":{"name":"2009 43rd Annual Conference on Information Sciences and Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122723134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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