DOA estimation of LFM signal based on Krylov subspace method

Direction of arrival estimation LFM signal is an essential task in radar, sonar, acoustics and biomedical. In this paper, a short time Fourier transform multi-step knowledge aided iterative generalized minimum residual (STFT-MS-KAI-GMRES) approach presented to amend the angle measurement signal. A three stage algorithm proposed. First, process initiated with formulating for carrier frequency chirp rate, followed by calculation STFT output array element; yields spatial time–frequency distribution matrix. Next, Krylov subspace-based formulated presence MS-KAI-ESPRIT algorithm. If number antennas increases, accuracy will increase, but we incur more communication costs. Results are showing attainment CRLB STFT-MS-KAI-GMRES adequately large noise ratio. An important feature method current study low computational complexity that has higher suitability practical applications.