Huang Ke-ji, Tian Da, Chen Tian-qi. DOA Estimation of Wideband Chirp Signals Based on Time-Frequency Subspace Decomposition[J]. Journal of Electronics & Information Technology, 2004, 26(3): 344-349.
Citation:
Huang Ke-ji, Tian Da, Chen Tian-qi. DOA Estimation of Wideband Chirp Signals Based on Time-Frequency Subspace Decomposition[J]. Journal of Electronics & Information Technology, 2004, 26(3): 344-349.
Huang Ke-ji, Tian Da, Chen Tian-qi. DOA Estimation of Wideband Chirp Signals Based on Time-Frequency Subspace Decomposition[J]. Journal of Electronics & Information Technology, 2004, 26(3): 344-349.
Citation:
Huang Ke-ji, Tian Da, Chen Tian-qi. DOA Estimation of Wideband Chirp Signals Based on Time-Frequency Subspace Decomposition[J]. Journal of Electronics & Information Technology, 2004, 26(3): 344-349.
In allusion to wideband chirp signals with time-varying direction vector, this paper constructs STFD(Spatial Time-Frequency Distribution) by short WVD(Wigner-Ville Distribution). By eigenvalue decomposition to get signal subspace and noise subspace, a algorithm of DOA estimation based on time-frequency subspace projection is proposed . Through spatial smoothing, the problem of DOA estimation of signals with the same time-frequency signature is solved. This method need not focusing and interpolation, has high precision and low computation. Simulation shows the algorithm has better performance than the method of DOA estimation of wideband signals based on matrix interpolation proposed recently.
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