Pub Date : 2014-06-22DOI: 10.1109/SPAWC.2014.6941910
Souhaila Fki, Malek Messai, A. Aïssa-El-Bey, T. Chonavel
In this paper, we address M-QAM blind equalization based on information theoretic criteria. We propose two new cost functions that force the probability density functions (pdf) at the equalizer output to match the known constellation pdf. They involve kernel pdf approximation. The kernel bandwidth of a Parzen estimator is updated during iterations to improve the convergence speed and to decrease the residual error of the algorithms. Unlike related existing techniques, the new algorithms measure the distance error between observed and assumed pdfs for the real and imaginary parts of the equalizer output separately. We show performance and complexity gain against the CMA, the most popular blind equalization technique, and classical pdf fitting approaches.
{"title":"New criteria for blind equalization based on PDF fitting","authors":"Souhaila Fki, Malek Messai, A. Aïssa-El-Bey, T. Chonavel","doi":"10.1109/SPAWC.2014.6941910","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941910","url":null,"abstract":"In this paper, we address M-QAM blind equalization based on information theoretic criteria. We propose two new cost functions that force the probability density functions (pdf) at the equalizer output to match the known constellation pdf. They involve kernel pdf approximation. The kernel bandwidth of a Parzen estimator is updated during iterations to improve the convergence speed and to decrease the residual error of the algorithms. Unlike related existing techniques, the new algorithms measure the distance error between observed and assumed pdfs for the real and imaginary parts of the equalizer output separately. We show performance and complexity gain against the CMA, the most popular blind equalization technique, and classical pdf fitting approaches.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"8 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117320057","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941413
Imen Sahnoun, I. Kammoun, M. Siala
In this paper, a cognitive radio scenario is proposed, where secondary users are allowed to communicate concurrently with primary users provided that they do not create harmful interference to the licensed users. Here, we aim to improve the unlicensed system performance under power and interfernce constraints. For this aim, we propose to use a cooperative relay to assist the secondary transmission. Moreover, an adaptive modulation is used in order to compensate the throughput loss due to the relaying. The main contribution of this work is to consider a new energy allocation scheme for source and relay nodes to maximize the instantaneous received signal-to-noise ratio under the system constraints. A variety of simulation results reveal that our proposed energy allocation method combined with adaptive modulation offers better performance compared with the classical cooperation scheme where energy resources are equally distributed over all nodes.
{"title":"Energy allocation optimization for cooperative cognitive network","authors":"Imen Sahnoun, I. Kammoun, M. Siala","doi":"10.1109/SPAWC.2014.6941413","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941413","url":null,"abstract":"In this paper, a cognitive radio scenario is proposed, where secondary users are allowed to communicate concurrently with primary users provided that they do not create harmful interference to the licensed users. Here, we aim to improve the unlicensed system performance under power and interfernce constraints. For this aim, we propose to use a cooperative relay to assist the secondary transmission. Moreover, an adaptive modulation is used in order to compensate the throughput loss due to the relaying. The main contribution of this work is to consider a new energy allocation scheme for source and relay nodes to maximize the instantaneous received signal-to-noise ratio under the system constraints. A variety of simulation results reveal that our proposed energy allocation method combined with adaptive modulation offers better performance compared with the classical cooperation scheme where energy resources are equally distributed over all nodes.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115222735","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941328
Lifeng Wang, M. Elkashlan, T. Duong, R. Heath
This paper proposes millimeter wave (mmWave) mobile broadband for achieving secure communication in downlink cellular network. Analog beamforming with phase shifters is adopted for the mmWave transmission. The secrecy throughput is analyzed based on two different transmission modes, namely delay-tolerant transmission and delay-limited transmission. The impact of large antenna arrays at the mmWave frequencies on the secrecy throughput is examined. Numerical results corroborate our analysis and show that mmWave systems can enable significant secrecy improvement. Moreover, it is indicated that with large antenna arrays, multi-gigabit per second secure link at the mmWave frequencies can be reached in the delay-tolerant transmission mode and the adverse effect of secrecy outage vanishes in the delay-limited transmission mode.
{"title":"Secure communication in cellular networks: The benefits of millimeter wave mobile broadband","authors":"Lifeng Wang, M. Elkashlan, T. Duong, R. Heath","doi":"10.1109/SPAWC.2014.6941328","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941328","url":null,"abstract":"This paper proposes millimeter wave (mmWave) mobile broadband for achieving secure communication in downlink cellular network. Analog beamforming with phase shifters is adopted for the mmWave transmission. The secrecy throughput is analyzed based on two different transmission modes, namely delay-tolerant transmission and delay-limited transmission. The impact of large antenna arrays at the mmWave frequencies on the secrecy throughput is examined. Numerical results corroborate our analysis and show that mmWave systems can enable significant secrecy improvement. Moreover, it is indicated that with large antenna arrays, multi-gigabit per second secure link at the mmWave frequencies can be reached in the delay-tolerant transmission mode and the adverse effect of secrecy outage vanishes in the delay-limited transmission mode.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133184503","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941434
D. Pinchon, P. Siohan, F. Labeau
In this paper we consider the case of an oversampled exponentially modulated transmultiplexer. We particularly focus on the interference created by a time offset impairment. We, firstly, simplify the expression of the Signal to Interference Ratio (SIR). Then, using this SIR expression as the optimization criterion, we provide perfect (PR) and nearly perfect (NPR) solutions that all outperform conventional OFDM.
{"title":"Waveform optimization for oversampled transmultiplexers in the presence of time-offset","authors":"D. Pinchon, P. Siohan, F. Labeau","doi":"10.1109/SPAWC.2014.6941434","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941434","url":null,"abstract":"In this paper we consider the case of an oversampled exponentially modulated transmultiplexer. We particularly focus on the interference created by a time offset impairment. We, firstly, simplify the expression of the Signal to Interference Ratio (SIR). Then, using this SIR expression as the optimization criterion, we provide perfect (PR) and nearly perfect (NPR) solutions that all outperform conventional OFDM.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125098495","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941835
O. Barbu, N. L. Pedersen, Carles Navarro i Manchon, G. Monghal, C. Rom, B. Fleury
Traditionally, the dictionary matrices used in sparse wireless channel estimation have been based on the discrete Fourier transform, following the assumption that the channel frequency response (CFR) can be approximated as a linear combination of a small number of multipath components, each one being contributed by a specific propagation path. In practical communication systems, however, the channel response experienced by the receiver includes additional effects to those induced by the propagation channel. This composite channel embodies, in particular, the impact of the transmit (shaping) and receive (demodulation) filters. Hence, the assumption of the CFR being sparse in the canonical Fourier dictionary may no longer hold. In this work, we derive a signal model and subsequently a novel dictionary matrix for sparse estimation that account for the impact of transceiver filters. Numerical results obtained in an OFDM transmission scenario demonstrate the superior accuracy of a sparse estimator that uses our proposed dictionary rather than the classical Fourier dictionary, and its robustness against a mismatch in the assumed transmit filter characteristics.
{"title":"Sparse channel estimation including the impact of the transceiver filters with application to OFDM","authors":"O. Barbu, N. L. Pedersen, Carles Navarro i Manchon, G. Monghal, C. Rom, B. Fleury","doi":"10.1109/SPAWC.2014.6941835","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941835","url":null,"abstract":"Traditionally, the dictionary matrices used in sparse wireless channel estimation have been based on the discrete Fourier transform, following the assumption that the channel frequency response (CFR) can be approximated as a linear combination of a small number of multipath components, each one being contributed by a specific propagation path. In practical communication systems, however, the channel response experienced by the receiver includes additional effects to those induced by the propagation channel. This composite channel embodies, in particular, the impact of the transmit (shaping) and receive (demodulation) filters. Hence, the assumption of the CFR being sparse in the canonical Fourier dictionary may no longer hold. In this work, we derive a signal model and subsequently a novel dictionary matrix for sparse estimation that account for the impact of transceiver filters. Numerical results obtained in an OFDM transmission scenario demonstrate the superior accuracy of a sparse estimator that uses our proposed dictionary rather than the classical Fourier dictionary, and its robustness against a mismatch in the assumed transmit filter characteristics.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114253875","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941770
Ahmed S. Mansour, R. Schaefer, H. Boche
We study secure communication in which two confidential messages are transmitted over a broadcast channel to two legitimate receivers, while keeping an eavesdropper ignorant. Each legitimate receiver is interested in decoding one confidential message, while having the other one as side information. In order to measure the secrecy of the communication, we investigate two different secrecy criteria: joint secrecy and individual secrecy. For both criteria, we provide an achievable rate region and a matching multi-letter outer bound presenting a multi-letter description for the capacity region. We further investigate the class of more capable channels and provide a single-letter converse establishing the secrecy capacity region, not only for more capable channels but less noisy and degraded channels as well. Our results indicate that the secrecy capacity for individual secrecy is higher than the one for joint secrecy, as one message can be used as a secret key for the other one.
{"title":"Joint and individual secrecy in broadcast channels with receiver side information","authors":"Ahmed S. Mansour, R. Schaefer, H. Boche","doi":"10.1109/SPAWC.2014.6941770","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941770","url":null,"abstract":"We study secure communication in which two confidential messages are transmitted over a broadcast channel to two legitimate receivers, while keeping an eavesdropper ignorant. Each legitimate receiver is interested in decoding one confidential message, while having the other one as side information. In order to measure the secrecy of the communication, we investigate two different secrecy criteria: joint secrecy and individual secrecy. For both criteria, we provide an achievable rate region and a matching multi-letter outer bound presenting a multi-letter description for the capacity region. We further investigate the class of more capable channels and provide a single-letter converse establishing the secrecy capacity region, not only for more capable channels but less noisy and degraded channels as well. Our results indicate that the secrecy capacity for individual secrecy is higher than the one for joint secrecy, as one message can be used as a secret key for the other one.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125124870","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941314
A. Hassanien, S. Vorobyov, Yeo-Sun Yoon, Joon-Young Park
We consider the problem of two-dimensional (2D) transmit beamforming design for phased-MIMO Radar with a limited number of transmit power amplifiers. Subarray partitioning is used in MIMO radar where individual subarrays operate in a phased-array mode leading to a reduction in the number of power amplifiers required. However, the use of subarray partitioning results in poor transmit beampattern characteristics due to the reduced physical aperture of the subarrays as compared to the aperture of the full transmit array. To address this problem, we introduce a new method for achieving a desired transmit beampattern while applying the concept of phased-MIMO radar. Our design consists of two cascaded stages where the first stage involves mapping a set of finite number of orthogonal waveforms into another set of cross-correlated waveforms using a linear mixing operator. The second stage involves partitioning the transmit array into a finite number of transmit subarrays where each subarray is used to radiate one of the cross-correlated waveforms in phased-array mode. The mixing matrix used in the first stage is appropriately designed to ensure that the overall transmit beampattern, i.e., the summation of all beampatterns of the individual subarrays, is as close as possible to a desired transmit beampattern. The number of power amplifiers required is finite and equals to the number of subarrays. One of the advantages of the new method is that it can achieve coherent transmit gain that is comparable to the coherent transmit gain of a phased-array radar while implementing the concept of MIMO radar. Simulation examples are used to validate the proposed method capabilities.
{"title":"Two-stage based design for phased-MIMO radar with improved coherent transmit processing gain","authors":"A. Hassanien, S. Vorobyov, Yeo-Sun Yoon, Joon-Young Park","doi":"10.1109/SPAWC.2014.6941314","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941314","url":null,"abstract":"We consider the problem of two-dimensional (2D) transmit beamforming design for phased-MIMO Radar with a limited number of transmit power amplifiers. Subarray partitioning is used in MIMO radar where individual subarrays operate in a phased-array mode leading to a reduction in the number of power amplifiers required. However, the use of subarray partitioning results in poor transmit beampattern characteristics due to the reduced physical aperture of the subarrays as compared to the aperture of the full transmit array. To address this problem, we introduce a new method for achieving a desired transmit beampattern while applying the concept of phased-MIMO radar. Our design consists of two cascaded stages where the first stage involves mapping a set of finite number of orthogonal waveforms into another set of cross-correlated waveforms using a linear mixing operator. The second stage involves partitioning the transmit array into a finite number of transmit subarrays where each subarray is used to radiate one of the cross-correlated waveforms in phased-array mode. The mixing matrix used in the first stage is appropriately designed to ensure that the overall transmit beampattern, i.e., the summation of all beampatterns of the individual subarrays, is as close as possible to a desired transmit beampattern. The number of power amplifiers required is finite and equals to the number of subarrays. One of the advantages of the new method is that it can achieve coherent transmit gain that is comparable to the coherent transmit gain of a phased-array radar while implementing the concept of MIMO radar. Simulation examples are used to validate the proposed method capabilities.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125051003","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941828
Shervin Shahidi, S. Valaee
We investigate the problem of graph matching to translate topological indoor localization to geographical localization, by modeling the building map and the semantic maps as graphs. A graph matching algorithm is proposed along with a node similarity measure based on finding the minimum distance between all sets of permutations of two vectors. We provide an efficient technique to calculate the similarity measurement, and prove its correctness via a theorem. The matching algorithm is shown to find all pairs of corresponding nodes correctly on real data.
{"title":"Graph matching for crowdsourced data in mobile sensor networks","authors":"Shervin Shahidi, S. Valaee","doi":"10.1109/SPAWC.2014.6941828","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941828","url":null,"abstract":"We investigate the problem of graph matching to translate topological indoor localization to geographical localization, by modeling the building map and the semantic maps as graphs. A graph matching algorithm is proposed along with a node similarity measure based on finding the minimum distance between all sets of permutations of two vectors. We provide an efficient technique to calculate the similarity measurement, and prove its correctness via a theorem. The matching algorithm is shown to find all pairs of corresponding nodes correctly on real data.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130452255","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941634
A. Cirik, Muhammad R. A. Khandaker, Y. Rong, Y. Hua
The uplink and downlink sum mean-squared error (MSE) duality for multi-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay channels is established, which is a generalization of several sum-MSE duality results. Unlike the previous results that prove the duality by computing the MSEs for each stream directly, we introduce an interesting perspective to the relation of the uplink-downlink duality based on the Karush-Kuhn-Tucker (KKT) conditions associated with uplink and downlink transceiver design optimization problems.
{"title":"On uplink-downlink sum-MSE duality of multi-hop MIMO relay channel","authors":"A. Cirik, Muhammad R. A. Khandaker, Y. Rong, Y. Hua","doi":"10.1109/SPAWC.2014.6941634","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941634","url":null,"abstract":"The uplink and downlink sum mean-squared error (MSE) duality for multi-hop amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay channels is established, which is a generalization of several sum-MSE duality results. Unlike the previous results that prove the duality by computing the MSEs for each stream directly, we introduce an interesting perspective to the relation of the uplink-downlink duality based on the Karush-Kuhn-Tucker (KKT) conditions associated with uplink and downlink transceiver design optimization problems.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130882258","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 : 2014-06-22DOI: 10.1109/SPAWC.2014.6941904
Tarig Ballal, T. Al-Naffouri
This paper proposes a low-sampling-rate scheme for ultra-wideband channel estimation. In the proposed scheme, P pulses are transmitted to produce P observations. These observations are exploited to produce channel impulse response estimates at a desired sampling rate, while the ADC operates at a rate that is P times less. To avoid loss of fidelity, the interpulse interval, given in units of sampling periods of the desired rate, is restricted to be co-prime with P. This condition is affected when clock drift is present and the transmitted pulse locations change. To handle this situation and to achieve good performance without using prior information, we derive an improved estimator based on the bounded data uncertainty (BDU) model. This estimator is shown to be related to the Bayesian linear minimum mean squared error (LMMSE) estimator. The performance of the proposed sub-sampling scheme was tested in conjunction with the new estimator. It is shown that high reduction in sampling rate can be achieved. The proposed estimator outperforms the least squares estimator in most cases; while in the high SNR regime, it also outperforms the LMMSE estimator.
{"title":"Low-sampling-rate ultra-wideband channel estimation using a bounded-data-uncertainty approach","authors":"Tarig Ballal, T. Al-Naffouri","doi":"10.1109/SPAWC.2014.6941904","DOIUrl":"https://doi.org/10.1109/SPAWC.2014.6941904","url":null,"abstract":"This paper proposes a low-sampling-rate scheme for ultra-wideband channel estimation. In the proposed scheme, P pulses are transmitted to produce P observations. These observations are exploited to produce channel impulse response estimates at a desired sampling rate, while the ADC operates at a rate that is P times less. To avoid loss of fidelity, the interpulse interval, given in units of sampling periods of the desired rate, is restricted to be co-prime with P. This condition is affected when clock drift is present and the transmitted pulse locations change. To handle this situation and to achieve good performance without using prior information, we derive an improved estimator based on the bounded data uncertainty (BDU) model. This estimator is shown to be related to the Bayesian linear minimum mean squared error (LMMSE) estimator. The performance of the proposed sub-sampling scheme was tested in conjunction with the new estimator. It is shown that high reduction in sampling rate can be achieved. The proposed estimator outperforms the least squares estimator in most cases; while in the high SNR regime, it also outperforms the LMMSE estimator.","PeriodicalId":420837,"journal":{"name":"2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335280","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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