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Power Allocation and Measurement Matrix Design for Block CS-Based Distributed MIMO Radars [article]

Azra Abtahi, M. Modarres-Hashemi, Farokh Marvasti, Foroogh S. Tabataba
2016 arXiv   pre-print
In this paper, two new methods are proposed to improve the performance of the block CS-based distributed MIMO radars.  ...  In distributed MIMO radars, block CS methods can be used instead of classical CS ones for more performance improvement, because the received signal in this group of MIMO radars is a block sparse signal  ...  Now, we evaluate the performance of a block CS-based distributed MIMO radar using both proposed methods.  ... 
arXiv:1505.00346v3 fatcat:rxcmhhsjofh27dl6omdycabg4i

Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar

Bin Sun, Haowen Chen, Xizhang Wei, Xiang Li
2015 International Journal of Antennas and Propagation  
The target localization in distributed multiple-input multiple-output (MIMO) radar is a problem of great interest.  ...  In this paper, we explore a novel sparsity-based DPD method to locate multiple targets using distributed MIMO radar.  ...  We introduce the signal model for a distributed MIMO radar and formulate the block sparse representation of signal in Section 2.  ... 
doi:10.1155/2015/903902 fatcat:bxzpcmc3cranzhhewvoh5rbewe

Direction-of-Arrival Estimation for CS-MIMO Radar Using Subspace Sparse Bayesian Learning [chapter]

Yang Bin, Huang Dongmei, Li Ding
2016 IFIP Advances in Information and Communication Technology  
We address the problem of direction-of-arrival (DOA) estimation for compressive sensing based multiple-input multiple-output (CS-MIMO) radar.  ...  The proposed scheme, which needs less iteration steps, can provides high precision DOA estimation performance for CS-MIMO radar, even at the condition of low signal-to-noise ratio and coherent sources.  ...  In this paper, we focus on the compressive sensing based MIMO (CS-MIMO) radar [13] .  ... 
doi:10.1007/978-3-319-48390-0_4 fatcat:vy252p5ggnckpejzfcalo77jsi

Efficient target estimation in distributed MIMO radar via the ADMM

Bo Li, Athina Petropulu
2014 2014 48th Annual Conference on Information Sciences and Systems (CISS)  
We consider the problem of target estimation in distributed MIMO radars that employ compressive sensing.  ...  A solution is proposed based on the alternating direction method of multipliers (ADMM), which significantly lowers the computational complexity of sparse recovery and improves the estimation accuracy.  ...  The introduction of compressive sensing (CS) [5] in distributed MIMO radars has been shown to enable good performance with fewer data [6] - [8] .  ... 
doi:10.1109/ciss.2014.6814116 dblp:conf/ciss/LiP14 fatcat:saqq33cqjjbrfeqk4y5uxernpy

Applications of Compressive Sampling Technique to Radar and Localization [chapter]

Soheil Salari, Francois Chan, Yiu-Tong Chan
2018 Advanced Electronic Circuits - Principles, Architectures and Applications on Emerging Technologies  
For example, the performance of CS radar in a cluttered environment has not been comprehensively studied.  ...  In this chapter, we first discuss the practical issues in the process of implementing CS radars and localization systems.  ...  Broadly speaking, there are two main groups of MIMO radars: Co-located MIMO radars and distributed MIMO radars [15] .  ... 
doi:10.5772/intechopen.75072 fatcat:qyb7frrvhvbd7d4czxnzngeke4

SFMM design in colocated CS-MIMO radar for jamming and interference joint suppression

Wei Xiong, Maria Greco, Fulvio Gini, Gong Zhang, Zhenni Peng
2018 IET radar, sonar & navigation  
(CS-MIMO) radar.  ...  Simulation results demonstrate the superiority of the proposed approaches over the other methods for colocated CS-MIMO radar.  ...  Science Foundation of Jiangsu (BK20140825), the Base Research foundation (NS2015040), the Funding of Jiangsu Innovation Program for Graduate Education (KYZZ16_0169), the Fundamental Research Funds for  ... 
doi:10.1049/iet-rsn.2017.0444 fatcat:cq2uhf47efarbh6gqpk6ne36q4

Compressed-Domain Detection and Estimation for Colocated MIMO Radar [article]

Ehsan Tohidi, Alireza Hariri, Hamid Behroozi, Mohammad Mahdi Nayebi, Geert Leus, Athina Petropulu
2020 arXiv   pre-print
The proposed approach enables an 8-fold reduction of the sample complexity in some settings as compared to a conventional compressed sensing (CS) MIMO radar thus enabling faster target detection.  ...  CSP MIMO radar involves two levels of data compression followed by target detection at the compressed domain.  ...  Therefore, the performance of CS-based radar detection methods deteriorates in the presence of clutter.  ... 
arXiv:2006.09860v1 fatcat:pxdalibfqnbipf6lkocrvxnyyu

On exploring sparsity in widely separated MIMO radar

Athina P. Petropulu, Yao Yu, Junzhou Huang
2011 2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)  
The scenario of widely separated multi-input multioutput (MIMO) radar is considered. For a small number of targets, the target returns are sparse in the target space.  ...  This structure can be exploited by a group Lasso approach to achieve significant performance gains.  ...  Rabinder Madan of the Office of Naval Research for sharing his ideas on the use of compressive sampling in the context of MIMO radar.  ... 
doi:10.1109/acssc.2011.6190267 dblp:conf/acssc/PetropuluYH11 fatcat:5nltm7bhs5cxdfxddjk5xhyqgy

Efficient two-dimensional compressive sensing in MIMO radar

Nafiseh Shahbazi, Aliazam Abbasfar, Mohammad Jabbarian-Jahromi
2017 EURASIP Journal on Advances in Signal Processing  
Compressive sensing (CS) has been a way to lower sampling rate leading to data reduction for processing in multiple-input multiple-output (MIMO) radar systems.  ...  In this paper, we further reduce the computational complexity of a pulse-Doppler collocated MIMO radar by introducing a two-dimensional (2D) compressive sensing.  ...  Author details 1 School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran. 2 School of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.  ... 
doi:10.1186/s13634-017-0448-1 fatcat:rsvm2nwbzbbypbc2vd2wfitmwm

A Super-Resolution DOA Estimation Method for Fast-Moving Targets in MIMO Radar

Song Liu, Lan Tang, Yechao Bai, Xinggan Zhang
2020 Mathematical Problems in Engineering  
A virtual aperture is provided by orthogonal waveforms in the MIMO radar to improve the DOA estimation performance.  ...  of atomic norm for the MIMO radar system.  ...  Acknowledgments is work was supported in part by the National Natural Science Foundation of China (Grant no. 61976113).  ... 
doi:10.1155/2020/4049785 fatcat:m65ol2wiq5dpdhx4xslkrr2xzm

High‐resolution velocity‐azimuth joint estimation for random‐time‐division‐multiplexing multiple‐input‐multiple‐output automotive radar using matrix completion

Xueyao Hu, Liang Zhang, Jiamin Long, Can Liang, Jianhu Liu, Yanhua Wang
2021 IET radar, sonar & navigation  
The transmitting antennas of TDM MIMO automotive radar are usually switched according to a sequential-TDM pattern.  ...  Due to its low hardware complexity, small volume and simple structure, timedivision-multiplexing multiple-input-multiple-output (TDM MIMO) radar has been widely applied in automotive applications.  ...  the estimation performance of automotive radar.  ... 
doi:10.1049/rsn2.12110 fatcat:qngkhuw53vcvhhcg3c77xk3bbu

Pedestrian motion direction estimation using simulated automotive MIMO radar

Peter Khomchuk, Inna Stainvas, Igal Bilik
2016 IEEE Transactions on Aerospace and Electronic Systems  
The performance of the proposed approach is evaluated in a practical automotive scenario simulations, where a walking pedestrian is observed by a multiple-input-multiple-output (MIMO) automotive radar  ...  In order to achieve higher regression performance, the state of the art sparse dictionary learning based feature extraction algorithm was adopted from the field of computer vision by drawing a parallel  ...  MIMO radar configurations in terms of the motion direction estimation performance.  ... 
doi:10.1109/taes.2016.140682 fatcat:g7gvhp6vgzfabmk6mx7f7m5rmm

BiLiMO: Bit-Limited MIMO Radar via Task-Based Quantization [article]

Feng Xi and Nir Shlezinger and Yonina C. Eldar
2020 arXiv   pre-print
Our numerical results demonstrate that the proposed BiLiMO receiver operating with a bit budget of one bit per sample achieves target recovery performance which approaches that of costly MIMO radars operating  ...  Multiple-input multiple-output (MIMO) radar technology is known to achieve high performance sensing by probing with multiple orthogonal waveforms.  ...  In particular, sub-Nyquist MIMO radar systems proposed in [15] - [17] utilize CS tools to reduce the sampling rate and number of antennas in MIMO radar systems without compromising its sensing performance  ... 
arXiv:2010.00195v1 fatcat:uaf3k5cv4zg3ljkxrrebmnvez4

Enabling Joint Communication and Radar Sensing in Mobile Networks – A Survey [article]

J. Andrew Zhang, Md Lushanur Rahman, Kai Wu, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen, Jinhong Yuan
2021 arXiv   pre-print
Within the context of PMN, we review stimulating research problems and potential solutions, organized under nine topics: performance bounds, waveform optimization, antenna array design, clutter suppression  ...  Mobile network is evolving from a communication-only network towards one with joint communication and radar/radio sensing (JCAS) capabilities, that we call perceptive mobile network (PMN).  ...  on improving the spectral efficiency and performance of sensing, and developing fundamental theories and performance bounds for such improvement.  ... 
arXiv:2006.07559v4 fatcat:uqxn3bm27zg55ofrh337j7qzb4

Robust Space–Time Joint Sparse Processing Method with Airborne Active Array for Severely Inhomogeneous Clutter Suppression

Qiang Wang, Bin Xue, Xiaowei Hu, Guangen Wu, Weihu Zhao
2022 Remote Sensing  
Numerous experiments were performed to verify the advantages of the proposed method.  ...  Due to clutter inhomogeneity, the clutter suppression ability of space–time adaptive processing (STAP) is usually constrained by the insufficient number of independent and identically distributed (IID)  ...  Based on these advantages, the various radar echo forms may be acquired, which allows additional aspects of the clutter suppression performance to be improved.  ... 
doi:10.3390/rs14112647 fatcat:k4gywyi3mra2rnptzt4x4spula
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