摘要
传统波达方向估计采用MUSIC算法进行估计时,当出现信号相关、低信噪比以及角度相近时,效果较差。在此基础上文中采用一种改进的MUSIC算法来实现对波达方向的可靠辨识。由于改进的MUSIC算法计算量较大,因此利用FPGA芯片以及硬件系统的SOPC(System On the Programmable Chip,可编程片上系统)技术,结合嵌入式软核与硬件加速的方法,设计并实现了阵列信息的高速处理与并行计算。
The traditional algorithm of DOA(Direction Of Arrival) angle is based on MUSIC(Multiple Signal Classification) algorithm. Such an algorithm,as is well known,has poor performance in the case of multiple interrelated signals,low signal noise ratio(SNR)or several objects whose azimuth angles are near.And the computation of MUSIC algorithm always needs massive processing time.How to improve the performance of the MUSIC algorithm and design a suitable hardware platform is extremely difficult.We used an improved ...
出处
《西北工业大学学报》
EI
CAS
CSCD
北大核心
2009年第2期168-172,共5页
Journal of Northwestern Polytechnical University
基金
西北工业大学科技创新基金(2008KJ02010)资助
关键词
波达方向
FPGA
信号处理
MUSIC算法
direction of arrival
field programmable gate arrays
signal processing
MUSIC(Multiple Signal Classification) algorithm