Pub Date : 2018-11-01DOI: 10.1109/ICDSP.2018.8631546
Jie Zhuang, L. Yang, Guo-Yong Ning, I. Hussein, Wei Wang
Direction-of-arrival (DOA) estimation is a ubiquitous task in array processing. In this paper, we propose an adaptive 2-dimensional direction finding framework to track multiple moving targets by using the subspace fitting method. First, we expand the steering vectors of the current snapshot in a Taylor series around the DOAs of the previous snapshot. Then we transform the subspace fitting problem into a set of linear equations. As a result, the DOAs of each snapshot can be updated by solving a set of linear equations and we no longer need to search the 2-D spatial spectrum. In comparison with the traditional 2-D MUSIC, the proposed method not only reduces the computational complexity considerably but also has better estimation performance.
{"title":"Adaptive 2-D DOA Estimation using Subspace Fitting","authors":"Jie Zhuang, L. Yang, Guo-Yong Ning, I. Hussein, Wei Wang","doi":"10.1109/ICDSP.2018.8631546","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631546","url":null,"abstract":"Direction-of-arrival (DOA) estimation is a ubiquitous task in array processing. In this paper, we propose an adaptive 2-dimensional direction finding framework to track multiple moving targets by using the subspace fitting method. First, we expand the steering vectors of the current snapshot in a Taylor series around the DOAs of the previous snapshot. Then we transform the subspace fitting problem into a set of linear equations. As a result, the DOAs of each snapshot can be updated by solving a set of linear equations and we no longer need to search the 2-D spatial spectrum. In comparison with the traditional 2-D MUSIC, the proposed method not only reduces the computational complexity considerably but also has better estimation performance.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115113459","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}
Hybrid analog/digital precoding is an important technique for next generation millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. The hybrid precoding can reduce RF chain number and power consumption without sacrificing spectral efficiency and a large number of mmWave antennas can be easily packed in small dimensions. Therefore, hybrid precoding can be easily applied to massive MIMO systems. However, the computational complexity of hybrid precoding algorithm is quite high. Thus, this paper aims to reduce the complexity by eliminating redundant computations in practical communication environments. In continuous drifting channel, the channel state information between two successive time indices are strongly related. Accordingly, the proposed algorithm predicts the redundant computations for generating RF precoder and baseband precoder matrices. The proposed algorithm also considers spatial movements of scattering paths by selecting neighboring beamforming basis vectors in codebook search. Simulation results show that the proposed predictive update condition and neighboring search techniques reduce up to 61.3% and 57.1% complexity for the precoder and combiner, respectively.
{"title":"Adaptive Simultaneous Orthogonal Matching Pursuit for mmWave Hybrid Beam Tracking","authors":"Che-Chuan Yeh, Kai-Neng Hsu, Jung-Chun Chi, Yuan-Hao Huang","doi":"10.1109/ICDSP.2018.8631653","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631653","url":null,"abstract":"Hybrid analog/digital precoding is an important technique for next generation millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems. The hybrid precoding can reduce RF chain number and power consumption without sacrificing spectral efficiency and a large number of mmWave antennas can be easily packed in small dimensions. Therefore, hybrid precoding can be easily applied to massive MIMO systems. However, the computational complexity of hybrid precoding algorithm is quite high. Thus, this paper aims to reduce the complexity by eliminating redundant computations in practical communication environments. In continuous drifting channel, the channel state information between two successive time indices are strongly related. Accordingly, the proposed algorithm predicts the redundant computations for generating RF precoder and baseband precoder matrices. The proposed algorithm also considers spatial movements of scattering paths by selecting neighboring beamforming basis vectors in codebook search. Simulation results show that the proposed predictive update condition and neighboring search techniques reduce up to 61.3% and 57.1% complexity for the precoder and combiner, respectively.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"67 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123045359","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631652
Zhenglin Li, Haiqiang Niu, Z. Gong, Renhe Zhang
According to the classical normal mode theory, low frequency acoustical signals propagating in shallow water are composed of several modal components associated with their own horizontal wavenumbers. In this paper, the horizontal wavenumbers are retrieved by the sparse Bayesian learning approach using a vertical line array. The modal depth functions derived from the Beam-Displacement-Ray-Mode theory are used as the dictionary. The proposed method does not require the prior of sea bottom information (e.g., soud speed). The performance is demonstrated by simulations in a shallow water environment.
{"title":"Sparse Bayesian Learning for Horizontal Wavenumber Retrieval in Underwater Acoustical Signal Processing","authors":"Zhenglin Li, Haiqiang Niu, Z. Gong, Renhe Zhang","doi":"10.1109/ICDSP.2018.8631652","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631652","url":null,"abstract":"According to the classical normal mode theory, low frequency acoustical signals propagating in shallow water are composed of several modal components associated with their own horizontal wavenumbers. In this paper, the horizontal wavenumbers are retrieved by the sparse Bayesian learning approach using a vertical line array. The modal depth functions derived from the Beam-Displacement-Ray-Mode theory are used as the dictionary. The proposed method does not require the prior of sea bottom information (e.g., soud speed). The performance is demonstrated by simulations in a shallow water environment.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128856","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631634
M. Hua, K. J. Chen
Effective interface protection techniques have been successfully developed to insert a sharp and thermally stable interlayer between the LPCVD (low pressure chemical vapor deposition)-SiNx gate dielectric and recess-etched GaN channel. The interlayer plays the critical role of protecting the etched GaN surface from degradation during high-temperature (i.e. at $sim780 circ C$) process, which is essential for fabricating enhancement-mode $LPCVD-SiN_{x}/GaN$ MIS-FETs with high stability and high reliability. With interface protection layer and reliable $LPCVD-SiN_{x}$ gate dielectric, the normally-off fully-recessed MIS-FET delivers remarkable advantages in high threshold voltage $(V_{th})$ thermal stability, long time-dependent gate dielectric breakdown (TDDB) lifetime and low bias temperature instability (BTI).
有效的界面保护技术已经成功地在LPCVD(低压化学气相沉积)-SiNx栅极介电介质和凹槽蚀刻GaN通道之间插入了一个锋利且热稳定的中间层。在高温(即在$sim780 circ C$)过程中，中间层起着保护蚀刻GaN表面不退化的关键作用，这对于制造具有高稳定性和高可靠性的增强模式$LPCVD-SiN_{x}/GaN$ miss - fet至关重要。由于具有接口保护层和可靠的LPCVD-SiN_{x}$栅极介电介质，正常关断的全凹槽misfet具有高阈值电压(V_{th})$热稳定性、长时间依赖性栅极介电击穿(TDDB)寿命和低偏置温度不稳定性(BTI)等显著优势。
{"title":"High-performance Enhancement-mode GaN Power MIS-FET with Interface Protection Layer","authors":"M. Hua, K. J. Chen","doi":"10.1109/ICDSP.2018.8631634","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631634","url":null,"abstract":"Effective interface protection techniques have been successfully developed to insert a sharp and thermally stable interlayer between the LPCVD (low pressure chemical vapor deposition)-SiNx gate dielectric and recess-etched GaN channel. The interlayer plays the critical role of protecting the etched GaN surface from degradation during high-temperature (i.e. at $sim780 circ C$) process, which is essential for fabricating enhancement-mode $LPCVD-SiN_{x}/GaN$ MIS-FETs with high stability and high reliability. With interface protection layer and reliable $LPCVD-SiN_{x}$ gate dielectric, the normally-off fully-recessed MIS-FET delivers remarkable advantages in high threshold voltage $(V_{th})$ thermal stability, long time-dependent gate dielectric breakdown (TDDB) lifetime and low bias temperature instability (BTI).","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127356110","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631818
C. Horng, Wen-Rong Wu, Din-Hwa Huang
Beamforming has been considered a crucial technique in 5G era. To perform received beamforming, one must know the information of angle-of-arrival (AoA). This paper considers AoA estimation in single-input-multiple-output (SIMO) pilot-assisted OFDM systems. Exploiting the sparsity of the wireless channel, we can first efficiently estimate channel impulse response with a compressive-sensing based technique. However, existing works often do not take the pulse-shaping effect into account, resulting in poor performance in real-world systems. We propose a basisadaptive block sparse Bayesian learning framework to solve the problem. Once the CIRs corresponding to received antennas are obtained, AoAs can then be estimated accordingly.
{"title":"Joint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systems","authors":"C. Horng, Wen-Rong Wu, Din-Hwa Huang","doi":"10.1109/ICDSP.2018.8631818","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631818","url":null,"abstract":"Beamforming has been considered a crucial technique in 5G era. To perform received beamforming, one must know the information of angle-of-arrival (AoA). This paper considers AoA estimation in single-input-multiple-output (SIMO) pilot-assisted OFDM systems. Exploiting the sparsity of the wireless channel, we can first efficiently estimate channel impulse response with a compressive-sensing based technique. However, existing works often do not take the pulse-shaping effect into account, resulting in poor performance in real-world systems. We propose a basisadaptive block sparse Bayesian learning framework to solve the problem. Once the CIRs corresponding to received antennas are obtained, AoAs can then be estimated accordingly.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116002942","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631563
Lei Zhou, Hongqing Liu, Zhen Luo, T. Truong
This work aims to recovery the signal that is corrupted by impulsive disturbance. To that end, the $ell_{p}$-norm $(0 lt p leq 1)$ is employed to promote sparsity of the signal of interest and the impulsive disturbance. By doing so, the signal recovery and disturbance suppression are simultaneously achieved. Two improved solvers based on block coordinate descent (BCD) and alternative direction method of multipliers (ADMM) frameworks are developed by utilizing the principle of the reweighted recursive least squares. Numerical experiments demonstrate that the superior performance of the proposed algorithms is obtained compared with the state-of-the-art proximal BCD and ADMM algorithms.
这项工作的目的是恢复被脉冲干扰破坏的信号。为此，采用$ell_{p}$ -范数$(0 lt p leq 1)$来提高感兴趣信号和脉冲干扰的稀疏性。通过这样做，可以同时实现信号恢复和干扰抑制。利用重加权递推最小二乘原理，提出了基于分块坐标下降法(BCD)和乘法器备选方向法(ADMM)框架的改进求解方法。数值实验表明，与目前最先进的近端BCD和ADMM算法相比，该算法具有更好的性能。
{"title":"Elimination of Impulsive Disturbance based on Nonconvex Regularization","authors":"Lei Zhou, Hongqing Liu, Zhen Luo, T. Truong","doi":"10.1109/ICDSP.2018.8631563","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631563","url":null,"abstract":"This work aims to recovery the signal that is corrupted by impulsive disturbance. To that end, the $ell_{p}$-norm $(0 lt p leq 1)$ is employed to promote sparsity of the signal of interest and the impulsive disturbance. By doing so, the signal recovery and disturbance suppression are simultaneously achieved. Two improved solvers based on block coordinate descent (BCD) and alternative direction method of multipliers (ADMM) frameworks are developed by utilizing the principle of the reweighted recursive least squares. Numerical experiments demonstrate that the superior performance of the proposed algorithms is obtained compared with the state-of-the-art proximal BCD and ADMM algorithms.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122324269","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631878
S. Koshita, K. Miyoshi, M. Abe, M. Kawamata
This paper proposes a new method of high-order adaptive band-pass filtering for detection of narrowband signals in white noise. In our proposed method we realize a desired adaptive filter in state-space form, which leads to high-accuracy detection of narrowband signals under finite wordlength constraints. We achieve this goal by describing a gradient-based adaptive algorithm for our previously proposed tunable band-pass state-space filters. It is demonstrated that our adaptive state-space filters show the robust convergence behavior against quantization effects, whereas the convergence behavior of the conventional direct-form adaptive filters is very sensitive to the quantization effects.
{"title":"A State-Space Approach to High-order Adaptive Band-Pass Filtering","authors":"S. Koshita, K. Miyoshi, M. Abe, M. Kawamata","doi":"10.1109/ICDSP.2018.8631878","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631878","url":null,"abstract":"This paper proposes a new method of high-order adaptive band-pass filtering for detection of narrowband signals in white noise. In our proposed method we realize a desired adaptive filter in state-space form, which leads to high-accuracy detection of narrowband signals under finite wordlength constraints. We achieve this goal by describing a gradient-based adaptive algorithm for our previously proposed tunable band-pass state-space filters. It is demonstrated that our adaptive state-space filters show the robust convergence behavior against quantization effects, whereas the convergence behavior of the conventional direct-form adaptive filters is very sensitive to the quantization effects.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122938005","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631828
Xiao Han, Haiyan Yang, Xiaolin Huang
As a specific class of compressive sensing, one-bit compressive sensing can use sign measurements (one-bit information) to recover sparse signals. One-bit information can be sampled in a very high rate with a relatively low cost. The progress of 1bit-CS, including models, algorithms, and applications, is reviewed in this paper. Additionally, mixed one-bit compressive sensing, which can deal with analog and sign measurements simultaneously, is introduced together with an experiment on computed tomography for a phantom.
{"title":"Review on One-Bit Compressive Sensing and its Biomedical Applications","authors":"Xiao Han, Haiyan Yang, Xiaolin Huang","doi":"10.1109/ICDSP.2018.8631828","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631828","url":null,"abstract":"As a specific class of compressive sensing, one-bit compressive sensing can use sign measurements (one-bit information) to recover sparse signals. One-bit information can be sampled in a very high rate with a relatively low cost. The progress of 1bit-CS, including models, algorithms, and applications, is reviewed in this paper. Additionally, mixed one-bit compressive sensing, which can deal with analog and sign measurements simultaneously, is introduced together with an experiment on computed tomography for a phantom.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122138180","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631678
Po-Wei Chang, Guan-Xin Zeng, Po-Chyi Su
Considering traffic/shop signs in street view images convey a large amount of information such as locations of pictures taken or effects of advertisement etc., a text detection mechanism for street view images is proposed in this research. To deal with relatively complicated content of street views in urban areas, the proposed scheme consists of two major parts. First, since various interference caused by pedestrians, buildings, vehicles appearing in images will significantly affect the detection performance, a Fully Convolutional Network is employed to locate street signs. Next, another neural network, i.e., Region Proposal Network, will help to extract text lines in the identified traffic/shop signs. Both horizontal and vertical text-lines will be extracted. The experimental results show that the proposed scheme is feasible, especially in processing complex streetscape.
{"title":"Text Detection in Street View Images by Cascaded Convolutional Neural Networks","authors":"Po-Wei Chang, Guan-Xin Zeng, Po-Chyi Su","doi":"10.1109/ICDSP.2018.8631678","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631678","url":null,"abstract":"Considering traffic/shop signs in street view images convey a large amount of information such as locations of pictures taken or effects of advertisement etc., a text detection mechanism for street view images is proposed in this research. To deal with relatively complicated content of street views in urban areas, the proposed scheme consists of two major parts. First, since various interference caused by pedestrians, buildings, vehicles appearing in images will significantly affect the detection performance, a Fully Convolutional Network is employed to locate street signs. Next, another neural network, i.e., Region Proposal Network, will help to extract text lines in the identified traffic/shop signs. Both horizontal and vertical text-lines will be extracted. The experimental results show that the proposed scheme is feasible, especially in processing complex streetscape.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"444 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122161718","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 : 2018-11-01DOI: 10.1109/ICDSP.2018.8631606
A. Madanayake, Najath Akram, L. Belostotski
Digital array receivers increasingly require both H and V polarization of the incident RF waves while supporting full-band operation. A wideband ADC is required for each polarization at every location of the array, leading to 2N ADCs for N locations. The paper proposes exploiting multidimensional sparsity in the spatio-temporal frequency domain to reduce the number of ADCs from 2N to N, while supporting two polarizations and wideband RF-digital operation. By using spatiotemporal sparsity with multi-dimensional linear transforms, it is proposed to combine the H and V array signals without interference, such that, the combined array signal can be sampled using just N ADCs. This allows a modern RFSoC or array receiver with N wideband ADC inputs to process N spatial locations in an array where each location contains a cross-polarized element measuring both H and V components, doubling the information carrying capacity of the N-ADC system provided that the elements limit the field-of-view to about 60°.
{"title":"Sampling H- & V-Polarized Antennas using a Single ADC for Digital Antenna Arrays by Exploiting Multi-Dimensional Signal Processing RF Circuits","authors":"A. Madanayake, Najath Akram, L. Belostotski","doi":"10.1109/ICDSP.2018.8631606","DOIUrl":"https://doi.org/10.1109/ICDSP.2018.8631606","url":null,"abstract":"Digital array receivers increasingly require both H and V polarization of the incident RF waves while supporting full-band operation. A wideband ADC is required for each polarization at every location of the array, leading to 2N ADCs for N locations. The paper proposes exploiting multidimensional sparsity in the spatio-temporal frequency domain to reduce the number of ADCs from 2N to N, while supporting two polarizations and wideband RF-digital operation. By using spatiotemporal sparsity with multi-dimensional linear transforms, it is proposed to combine the H and V array signals without interference, such that, the combined array signal can be sampled using just N ADCs. This allows a modern RFSoC or array receiver with N wideband ADC inputs to process N spatial locations in an array where each location contains a cross-polarized element measuring both H and V components, doubling the information carrying capacity of the N-ADC system provided that the elements limit the field-of-view to about 60°.","PeriodicalId":218806,"journal":{"name":"2018 IEEE 23rd International Conference on Digital Signal Processing (DSP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129106546","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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