DOA Estimation of Multi-path Signals Using Transient Smoothing Method
The present work introduces a novel algorithm for Direction-of-arrival (DOA) estimation of signals in the multi-path environment. The technique relies on transient smoothing way to extract the coherence properties of sub-array, and restores the rank of the data covariance matrix. After processed, the multi-path channel signals were de-correlation and can be processed by traditional DOA estimation algorithms. Through extensive computer simulations, the relation between ratio of phase and position of signal sources has been demonstrated. The performance of technique is contrasted with other suggested methods in the different assumptions.
Keywords: Transient smoothing, DOA estimation, Multi-path, Space Smoothing.
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ABOUT THE AUTHORS
Fugang Liu
Fugang LIu is a Ph. D student in Harbin Engineering University. He is working as a lecture at Heilongjiang Institute of Science and Technology. His research interests are wideband signal detection, processing and recognition, communication signal processing.
Ming Diao
Ming DIAO is a full professor and doctoral advisor in Harbin Engineering University. He is senior member of China Institute of Communications, a member of Committee of Deep Space Exploration Technology, Chinese Society of Astronautics, a member of the China Society of Image and Graphics. His research interests are wideband signal detection, processing and recognition, communication signal processing.
Fugang Liu
Fugang LIu is a Ph. D student in Harbin Engineering University. He is working as a lecture at Heilongjiang Institute of Science and Technology. His research interests are wideband signal detection, processing and recognition, communication signal processing.
Ming Diao
Ming DIAO is a full professor and doctoral advisor in Harbin Engineering University. He is senior member of China Institute of Communications, a member of Committee of Deep Space Exploration Technology, Chinese Society of Astronautics, a member of the China Society of Image and Graphics. His research interests are wideband signal detection, processing and recognition, communication signal processing.
