摘要
针对频域最小方差无失真响应(MVDR)方法在源方位快速变化情况下稳定性差的问题,提出了一种基于时域解析信号的MVDR自适应波束形成方法TAMVDR(Time-domain Aanlysis MVDR)。在构造时域解析信号的基础上,TAMVDR通过对每一路时域解析信号引入复权,利用期望方向的输出响应不变的约束使阵列输出功率最小。在一次快拍条件下,TAMVDR即可获得最优解。仿真及试验数据处理结果表明,在目标方位快速变化条件下,TAMVDR的信号检测和方位分辨性能明显优于频域MVDR方法,且计算量较小。
A kind of adaptive beamforming algorithm called the time-domain analysis minimum variance distortionless response (TAMVDR)is presented to improve the performance of frequency domain MVDR in the presence of fast-moving signal sources. The optimum solution can be obtained with single snapshot data via introducing complex weights based on constructing time domain analysis signal using the constraint which keeps the output response of desired direction invariable. The computer simulation and experimental results indicate that the performance of TAMVDR is better than that of the frequency domain MVDR method in signal detecting and azimuth resolution for fast-moving signal sources. In addition, TAMVDR has less computation quantity.
出处
《数据采集与处理》
CSCD
北大核心
2009年第3期318-322,共5页
Journal of Data Acquisition and Processing
基金
声场声信息国家重点实验室基金(200502)资助项目