摘要
根据信号相位匹配原理,提出了基于正则化方法的方位估计算法。该方法具有尖锐的搜索指向性,改善了接收阵个别阵元故障条件下的方位估计精度。海试数据的处理结果表明,该方法的定向稳定性和方位估计精度优于传统的波束形成方位估计和基于相位匹配原理的奇异值分解方位估计方法。
There exists already a fairly good method based on the efficient SPM （signal-phase-matching） principle for estimating DOA （Direction of Arrival）. We aim to present a more accurate estimation method, which, like Ref. 7, is based on SPM, but unlike Ref. 7, combines SPM with regularization method; more importantly, even when some of the sensors fail to work, our method can still give fairly accurate DOA results, but the method of Ref. 7 cannot. In the full paper, we explain our method in much detail; here we give only a briefing. We discuss the following three topics： （1）SPM principle and SVD （Singular Value Decomposition） algorithm for DOA estimation; （2）analysis of problems in DOA estimation; （3）Tikhonov regularization algorithm. Finally we give sea test data and analyze them. The analysis of sea test data shows： （1） when we used L estimation criterion of Tikhonov regularization algorithm, the 3 dB beam width was 1.8° and side lobe was lower than main lobe by 3.88 dB; （2）when we used GCV estimation criterion of Tikhonov regularization algorithm, the 3 dB beam width was 1.5° and the side lobe was lower than main lobe by 7.64 dB. The results show that the method proposed by us is better than that of Ref 7.
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2005年第6期725-728,共4页
Journal of Northwestern Polytechnical University
基金
国家自然科学基金(60272077)
航空科学基金(02F53030)
陕西省科学基金(2002F17)资助
关键词
阵元故障
信号相位匹配原理
正则化
方位估计
incomplete data, signal-phase-matching （SPM） principle, regularization
