西安电子科技大学学报（自然科学版）2024，Vol.51Issue(3)：55-62,8.DOI:10.19665/j.issn1001-2400.20231201
存在幅相误差时二维稳健超分辨测角算法
Algorithm for estimation of the two-dimensional robust super-resolution angle under amplitude and phases uncertainty background
摘要
Abstract
In order to address the issues of low angle resolution in elevation and azimuth dimensions of the 4D vehicle-mounted millimeter wave radar,as well as the biased angle measurement when the array includes amplitude and phase defects.A robust two-dimensional super-resolution angle estimation method based on fast sparse Bayesian Learning(FSBL)is suggested as a solution to this issue.First,a two-dimensional super-resolution angle signal model with amplitude and phase errors is built by using grids to split the angle domain space depending on spatial sparsity.Then,the two-dimensional angle estimation for spatial proximity targets is obtained using the fixed-point updated based MacKay SBL reconstruction algorithm,with the phase error and biased angle compensation calibrated using the self-correcting algorithm based on vector dot product.Finally,the computational complexity of the proposed algorithm is analyzed,and the Cramer-Rao Lower Bound(CRB)for two-dimensional angle estimation under MIMO non-uniform sparse arrays is provided.By comparing six distinct categories of super-resolution algorithms,simulation results demonstrate that the proposed method has a high angle resolution and a low root mean square error(RMSE)in a low SNR and few snapshot numbers under the actual layout of 12 transmitting and 16 receiving antennas for the continental ARS548 radar.关键词
超分辨/多输入多输出阵列/毫米波雷达/贝叶斯学习/幅相误差Key words
super-resolution/multiple-input multiple-output(MIMO)array/millimeter wave radar/sparse Bayesian learning/amplitude and phases error分类
信息技术与安全科学引用本文复制引用
刘敏提,曾操,胡树林,陈建忠,李军,李世东,廖桂生..存在幅相误差时二维稳健超分辨测角算法[J].西安电子科技大学学报（自然科学版）,2024,51(3):55-62,8.基金项目
国家自然科学基金(61621005,61771015) （61621005,61771015）
