NISHIMURA T , OGAWA Y , OHGANE T , et al. Radio techniques incorporating sparse modeling:regular section [J ] . IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences , 2021 , E104.A ( 3 ): 591 - 603 . DOI: 10.1587/transfun.2020EAI0001 http://doi.org/10.1587/transfun.2020EAI0001 https://www.jstage.jst.go.jp/article/transfun/E104.A/3/E104.A_2020EAI0001/_article https://www.jstage.jst.go.jp/article/transfun/E104.A/3/E104.A_2020EAI0001/_article

GOTO K , MARUTA K , AHN C J . Compressed sensing based low complexity 2D-DOA estimation by separation and pair-matching approach [J ] . IEICE Communications Express , 2020 , 9 ( 6 ): 224 - 229 . DOI: 10.1587/comex.2020XBL0015 http://doi.org/10.1587/comex.2020XBL0015 https://www.jstage.jst.go.jp/article/comex/9/6/9_2020XBL0015/_article https://www.jstage.jst.go.jp/article/comex/9/6/9_2020XBL0015/_article

汤建龙 , 郭立博 , 董阳阳 . 基于到达时间和到达方向联合定位的机动有源诱偏方法 [J ] . 兵工学报 , 2020 , 41 ( 10 ): 2088 - 2095 .

TANG J L , GUO L B , DONG Y Y . Maneuvering active decoying method based on joint TOA-DOA localization [J ] . Acta Armamentarii , 2020 , 41 ( 10 ): 2088 - 2095 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2020.10.019 http://doi.org/10.3969/j.issn.1000-1093.2020.10.019 The active decoying system is one of the main measures for ground-based radar against anti-radiation missile (ARM). The decoying effect of the existing decoying system is unreliable since the decoy cannot obtain the real-time position information of ARM in the decoying process, and ARM has inertial navigation error. A new method of single-maneuvering decoy against ARM based on single station location is proposed to solve the problem above. The method of the decoying system positioning ARM after the shutdown of radar transmitter is proposed based on the maneuvering active decoying principle, and the systematic error of the positioning method is deduced. The possible landing area of ARM is analyzed in the comprehensive consideration of the inertial navigation error, and then the appropriate shutdown time of the decoy is determined to improve the reliability of the decoying system. The numerically simulated results show that the decoying system can effectively locate ARM and successfully control the bait to decoy ARM, which effectively guarantees the safety of radar and decoys.

DIKSHA T , VIKAS B , RAJU T S . Proximal gradient method based robust Capon beamforming against large DOA mismatch [J ] . Frequenz , 2021 , 75 ( 7/8 ): 259 - 266 . DOI: 10.1515/freq-2020-0133 http://doi.org/10.1515/freq-2020-0133 https://www.degruyter.com/document/doi/10.1515/freq-2020-0133/html https://www.degruyter.com/document/doi/10.1515/freq-2020-0133/html The Capon beamformer has excellent resolution and interference suppression capability but due to various attributes of practical environment such as inaccurate and/or insufficient information about the source, transmission medium and antenna array its performance deteriorates. To enhance its performance various efforts have been devoted and one effective method is presented here. In this paper, a novel and efficient robust Capon beamformer is devised which is based on proximal gradient method (PGRCB) and the robustness is achieved through remodeling the optimization problem of standard Capon beamformer (SCB). In the proposed PGRCB, the proximal gradient method is used to formulate a new optimization problem in order to obtain the optimum weights of the robust beamformer. The proposed method can achieve better performance as compared to some recent methods in the literature and its effectiveness is verified by the simulation results.

NOH H M , KIM H J , KIM H N . DOA Estimation of combining time modulated arrays with beamspace USIC algorithm [J ] . The Journal of Korean Institute of Communications and Information Sciences , 2020 , 45 ( 6 ): 951 - 960 . DOI: 10.7840/kics.2020.45.6.951 http://doi.org/10.7840/kics.2020.45.6.951 http://www.dbpia.co.kr/Journal/ArticleDetail/NODE09354921 http://www.dbpia.co.kr/Journal/ArticleDetail/NODE09354921

XIAO M L , DUAN Z B , YANG Z L . A weighted forward-backward spatial smoothing DOA estimation algorithm based on TLS-ESPRIT:regular section [J ] . IEICE Transactions on Information and Systems , 2021 , E104.D ( 6 ): 881 - 884 . DOI: 10.1587/transinf.2020EDL8144 http://doi.org/10.1587/transinf.2020EDL8144 https://www.jstage.jst.go.jp/article/transinf/E104.D/6/E104.D_2020EDL8144/_article https://www.jstage.jst.go.jp/article/transinf/E104.D/6/E104.D_2020EDL8144/_article

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WANG J H , HUANG Z T , ZHOU Y Y . Direction-of-arrival estimation based on joint sparsity [J ] . Sensors , 2011 , 11 ( 9 ): 9098 - 9108 . DOI: 10.3390/s110909098 http://doi.org/10.3390/s110909098 We present a DOA estimation algorithm, called Joint-Sparse DOA to address the problem of direction-of-arrival (DOA) estimation using sensor arrays. Firstly, DOA estimation is cast as the joint-sparse recovery problem. Then, norm is approximated by an arctan function to represent joint sparsity and DOA estimation can be obtained by minimizing the approximate norm. Finally, the minimization problem is solved by a quasi-Newton method to estimate DOA. Simulation results show that our algorithm has some advantages over most existing methods: it needs a small number of snapshots to estimate DOA, while the number of sources need not be known a priori. Besides, it improves the resolution, and it can also handle the coherent sources well.

WANG W Y , WU R B . High resolution direction of arrival (DOA) estimation based on improved orthogonal matching pursuit (OMP) algorithm by iterative local searching [J ] . Sensors , 2013 , 13 ( 9 ): 11167 - 11183 . DOI: 10.3390/s130911167 http://doi.org/10.3390/s130911167 DOA (Direction of Arrival) estimation is a major problem in array signal processing applications. Recently, compressive sensing algorithms, including convex relaxation algorithms and greedy algorithms, have been recognized as a kind of novel DOA estimation algorithm. However, the success of these algorithms is limited by the RIP (Restricted Isometry Property) condition or the mutual coherence of measurement matrix. In the DOA estimation problem, the columns of measurement matrix are steering vectors corresponding to different DOAs. Thus, it violates the mutual coherence condition. The situation gets worse when there are two sources from two adjacent DOAs. In this paper, an algorithm based on OMP (Orthogonal Matching Pursuit), called ILS-OMP (Iterative Local Searching-Orthogonal Matching Pursuit), is proposed to improve DOA resolution by Iterative Local Searching. Firstly, the conventional OMP algorithm is used to obtain initial estimated DOAs. Then, in each iteration, a local searching process for every estimated DOA is utilized to find a new DOA in a given DOA set to further decrease the residual. Additionally, the estimated DOAs are updated by substituting the initial DOA with the new one. The simulation results demonstrate the advantages of the proposed algorithm.

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LIU J , ZHOU W , JUWONO F H , et al. Reweighted smoothed l 0 -norm based DOA estimation for MIMO radar [J ] . Signal Processing , 2017 , 137 : 44 - 51 . DOI: 10.1016/j.sigpro.2017.01.034 http://doi.org/10.1016/j.sigpro.2017.01.034 https://linkinghub.elsevier.com/retrieve/pii/S0165168417300440 https://linkinghub.elsevier.com/retrieve/pii/S0165168417300440

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