Weak Target Detection in MIMO Radar via Beamspace Canonical Correlation

被引:4
作者
Ibrahim, Mohamed Salah [1 ]
Sidiropoulos, Nicholas D. [1 ]
机构
[1] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22904 USA
来源
2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2020年
基金
美国国家科学基金会;
关键词
Weak target detection; Doppler estimation; multiple-input multiple-output (MIMO); radar; canonical correlation analysis (CCA); DIRECTION-OF-ARRIVAL; MUSIC;
D O I
10.1109/sam48682.2020.9104284
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
Reliable detection and accurate estimation of weak targets and their Doppler frequencies is a challenging problem in MIMO radar systems. Reflections from such targets are often overpowered by those from stronger nearby targets and clutter. Considering a 3-D data model where the coherent processing interval comprises multiple pulses, a novel weak target detection and estimation approach is proposed in this paper. The proposed method is based on creating partially overlapping spatial beams, and performing canonical correlation analysis (CCA) in the resulting beamspace. It is shown that if a target is present in the overlap sector, then its Doppler profile can be reliably estimated via beamspace CCA, even if hidden under much stronger interference from nearby targets and clutter. Numerical results are included to validate this theoretical claim, demonstrating that the proposed Beamspace Canonical Correlation (BCC) method yields considerable performance improvement over existing approaches.
引用
收藏
页数:5
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