In this paper, we propose a target Direction of Arrival (DOA) estimation algo-rithm through the triangular array antenna to improve the perception accuracy of intelligent vehicular millimeter-wave radar. Firstly, we utilize Total Least Square- Estimation of Signal Parameters to obtain the solution set of target azimuth with the geometrical advantages of the triangular array. Subsequently, the preliminary optimal target azimuth can be derived based on the power spectrum function of the improved Multiple Signal Classification algorithm, which is used to estimate the DOA solution set. Finally, we could estimate the optimal azimuth parameters accurately through searching the preliminary optimal target azimuth. The pro-posed algorithm avoids a wide range of power spectrum search, and reduces the error of azimuth estimation. Compared with both TLS-ESPRIT and MMUSIC algorithm, the spatial resolution is further improved. The evaluation results indi-cate that the proposed algorithm reduces the root mean square error and the com-putational complexity, and meanwhile improves the target azimuth estimation ac-curacy.
Authors: Xiaoyu Du (Henan University), Guoping Jiang (Nanjing University of Posts and Telecommunications), Chong Han (Nanjing University of Posts and Telecommunications), Chunsong Wang (Henan Universtiy), Yi Zhou (Henan University),
Hide Authors & Abstract