Direction of Arrival Estimation Method Based on Array Covariance Matrix and FOCUSS Algorithm
LI Qianyan
KANG Chunyu
Abstract：Traditional direction of arrival estimation method is always limited with Nyquist sampling theorem and Ray‐leigh limit ,requires better condition such as snapshot number ,sensor number and SNR .It also can’t estimate amplifier in‐formation of source accurately yet .Based on spatial sparsity of targets ,aiming at multiple‐dimension vectors model ,regular‐ized FOCUSS sparse reconstruction algorithm can improve performance of DOA estimation in the condition of low SNR effec‐tively .Array received matrix has large snapshot number and lots of noise information and it may affect higher resolution DOA estimation deeply .High power of the covariance matrix can approach signal subspace effectively ,decrease the influence of noise subspace .Taking the covariance matrix of array received data as data vector to be resolved construct sparse model can improve resolution of reconstructed signal ,and requires less snapshot number ,less sensor number and lower SNR .This method can also restrain sidelobe better and estimate amplifier information of source accurately .Moreover ,it doesn’t need to pre‐estimate the number of sources ,reflects obvious advantage .
Keywords：direction of arrival estimationregularized FOCUSS algorithmsparse reconstructioncovariance matrix
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 63-67,143 )