DOA Estimation of LFM Signal with Single Vector Hydrophone Based on LVD-MUSIC Method

A single vector hydrophone can complete the estimation of the direction of arrival (DOA) of underwater target. However, the single vector hydrophone can only estimate limited number sources and its performance is degraded when the signal is non-stationary, such as LFM signal. Besides, the DOA estimation performance of wideband LFM can be further improved as the time-frequency characteristics of the wideband LFM signals are not fully utilized in the existing methods. In this paper, a DOA estimation of wideband LFM signal using single vector hydrophone based on LVD-MUSIC method is proposed. Firstly, the Lv Distribution (LVD) algorithm is used to estimate the signal parameters, which has the advantage of high time-frequency concentration and the ability of anti-noise. Then, considering that the single vector hydrophone has the characteristics of the array manifold, the subspace decomposition theory in array signal processing is applied to the array manifold. At the same time, a covariance matrix is constructed based on the LVD, and is introduced into the Multiple Signal Classification (MUSIC) algorithm to estimate DOA. Finally, the simulation results prove the effectiveness of the proposed method, and verify the improvement of the DOA estimation accuracy.