Linear prediction based approach to DOA estimation of coherent cyclostationary signals

摘要

By exploiting the spatial and temporal properties of most communication signals, we propose a new cyclic forward-backward linear prediction (FBLP) approach for coherent signals impinging on a uniform linear array. In the proposed algorithm, the evaluation of the cyclic array covariance matrix is avoided and the difficulty of choosing the optimal time lag parameter is alleviated. As a result, the proposed approach has two advantages: the computational load is relatively reduced and the robustness of estimation is significantly improved. Numerical examples show that this approach is superior in resolving the closely spaced coherent signals with small length of array data and at relatively low signal-to-noise ratio (SNR).