Title :
DOD-DOA estimation by exploiting signal cyclostationarity for bistatic MIMO radar
Author :
Chunhua Yu ; Xinggan Zhang ; Yechao Bai ; Zhonglin Du
Author_Institution :
Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
Abstract :
A novel direction of departure (DOD) - direction of arrival (DOA) estimation method for bistatic MIMO radar is proposed. Based on the ESPRIT method, this method exploits the signal cyclostationarity to estimate the signal subspace, which uses the singular value decomposition (SVD) instead of using the eigenvalue decomposition (EVD). The proposed method improves the DOD and DOA estimation performance in the presence of interference signal, and also achieves automatic pairing for DOD and DOA. Simulation results verify the effectiveness of the proposed method.
Keywords :
MIMO radar; direction-of-arrival estimation; radar signal processing; singular value decomposition; DOD-DOA estimation method; ESPRIT method; SVD; bistatic MIMO radar; direction-of-departure-direction-of-arrival estimation method; interference signal; signal cyclostationarity; signal subspace estimation; singular value decomposition; Arrays; Direction-of-arrival estimation; Estimation; Interference; MIMO radar; US Department of Defense; Vectors; Direction of departure; MIMO radar; automatic pairing; direction of arrival;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6663935
