High-resolution DOA estimation based on independent noise component for correlated signal sources

Abstract

In this article, a modified complex-valued FastICA algorithm is utilized to extract the specific feature of the Gaussian noise component from mixtures so that the estimated component is as independent as possible to the other non-Gaussian signal components. Once the noise basis vector is obtained, we can estimate direction of arrival by searching the array manifold for direction vectors, which are as orthogonal as possible to the estimated noise basis vector especially for highly correlated signals with closely spaced direction. Superior resolution capabilities achieved with the proposed method in comparison with the conventional multiple signal classification (MUSIC) method, the spatial smoothing MUSIC method, and the signal subspace scaled MUSIC method are shown by simulation results.

DTCWT-ICA based Improved DOA Estimation of Closely Spaced and Coherent Signals with Uniform Linear Array

“…A complex-value based fast ICA algorithm that extracts the features of Gaussian noise from non-Gaussian signal components is presented in [9]. The performance for correlated signal with resolution of 2° is achieved with SNR of 16dB.…”

“…DOA estimation algorithms need to be modified when the signals are closely spaced and coherent with 2 resolution with relatively very low SNR for the performance enhancement. Most of the DOA estimation methods designed for non-coherent signals or coherent but under high SNR conditions [5][6][7][8][9][10][11][12][13][14]. The signals are closely spaced due to multipath propagation; they usually become coherent.…”

Direction-of-arrival estimation of multipath signals using independent component analysis and compressive sensing

“…Jančovič presented an underdetermined DOA estimation algorithm that used the ICA and time-frequency masking [ 19 ]. The proposed method in [ 20 ] extracts the Gaussian noise basis vector using the modified complex-valued FastICA algorithm and improves the resolution capability of a sensor array on which non-Gaussian signal sources with high correlation are impinging. A new method for the DOA estimation of uncorrelated and coherent signals was proposed in [ 21 ].…”

“…Most DOA estimation methods based on CS and ICA are only used to process the array signal without multipath. As with many decoherence algorithms, the algorithms in [ 20 ] and [ 21 ] eliminate only the coherence among the signals, obtain the DOA of the direct component, and do not use the coherence information to obtain the DOAs of multipath components.…”