电子科技大学学报Issue(4)：514-518,5.DOI:10.3969/j.issn.1001-0548.2014.04.007
利用信源先验特征的混合测向算法
Hybrid Direction Finding Approach Using Prior of Sources
摘要
Abstract
The number of sources must be known for eigen-decomposition subspace direction finding algorithms. However, in small number of snapshots and low signal-to-noise ratio (SNR) case, and when different signal strength between sources are occurred, both conventional AIC information criterion and MDL criterion are not able to judge the source number correctly and the performance of eigen-decomposition subspace direction finding algorithms (such as MUSIC method) deteriorates. To solve the problem, a hybrid direction finding approach using priori information of sources is proposed. With the proposed approach, the number of sources can be determined by using the fact that sources are sparse in angle domain. Furthermore, with the priori information that sources are non-circular, the direction finding performance is improved. Finally, computer simulations illustrate correction of the proposed approach..关键词
AIC信息准则/DOA估计/MDL准则/非圆信号/稀疏信号重建Key words
AIC information criterion/direction-of-arrival estimation/MDL criterion/non-circular signal/sparse signal recovery分类
信息技术与安全科学引用本文复制引用
樊荣,徐保根,万义和,汤四龙,文飞,万群..利用信源先验特征的混合测向算法[J].电子科技大学学报,2014,(4):514-518,5.基金项目
国家自然科学基金(61172140) （61172140）
