Advanced Direction-of-Arrival Estimation in Coprime Arrays via Adaptive Nystrm Spectral Analysis

被引:1
作者
Galindo, Miguel Villagomez [1 ]
Valencia, Ana Beatriz Martinez [1 ]
Bindiya, M. K. [2 ]
Nethravathi, B. [3 ]
Maurya, Sudhanshu [4 ,5 ]
Gadde, Sai Sudha [6 ]
Khandare, Anand [7 ]
Veerendra, D. [8 ]
机构
[1] Univ Michoacana, Morelia 58000, Michoacan, Mexico
[2] SJB Inst Technol, Dept CSE, Bengaluru 560060, India
[3] Engn JSS Acad Tech Educ, Dept Informat Sci, Bangalore 560060, Karnataka, India
[4] Symbiosis Inst, Dept CSE, Symbiosis Inst Technol, Nagpur Campus, Pune, Maharashtra, India
[5] Graph Era Hill Univ, Sch Comp, Dehra Dun 248002, Uttarakhand, India
[6] Koneru Lakshmaiah Educ Fdn, Dept Comp Sci, Engn, Hyderabad 500075, India
[7] Thakur Coll Engn, Dept Comp Engn, Technol, Mumbai 400101, Maharashtra, India
[8] Guru Nanak Dev Engn Coll, Dept CSE Data Sci, Bidar 585403, India
关键词
Sensors; Direction-of-arrival estimation; Sensor arrays; Estimation; Covariance matrices; Matrix decomposition; Array signal processing; Sensor signal processing; direction-of-arrival (DOA) estimation; extended coprime array; nystrom method;
D O I
10.1109/LSENS.2024.3349651
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This letter introduces Adaptive Nystrom Spectral Analysis (ANSA) as a new technique for Direction of Arrival (DOA) estimation in coprime arrays. ANSA exploits Nystrom-based root-MUSIC, employing matrix decomposition, polynomial root-finding, and adaptive noise subspace construction. The extended coprime array configuration, comprising distinct subarrays strategically positioned with physical sensors, adeptly captures uncorrelated far-field narrowband sources. ANSA significantly enhances direction-of-arrival (DOA) estimation accuracy, particularly in scenarios with high signal-to-noise ratio (SNR), while demonstrating robustness against parameter variations. A comprehensive analysis, incorporating the Cramer-Rao bound (CRB), substantiates ANSA's performance by establishing a stringent lower bound on the variance of the DOA estimator. This approach underscores exceptional potential for coprime arrays across varied signal environments, delivering a blend of precision and computational efficiency.
引用
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页数:4
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