摘要
提出了一种基于聚焦变换稳健的宽带信号方位估计算法,FTMV方法(Focusing Transform Based Minimum Variance Method)。该算法利用聚焦变换的思想将宽带阵列信号协方差矩阵聚焦到一个窄带上进行处理,实现了信号的方位积累。实验数据处理结果显示FTMV方法有效消除了阵列机动引入的目标方位估计误差,同时相对窄带MV方法(Minimum Variance Method)具有更短的响应时间、更小的计算复杂度、更好的鲁棒性能。
Focusing transform based minimum variance (FTMV) method is proposed as an estimation method of azimuth angles for wide-band signals. By focusing the wide-band array covariances on a narrow-band, the signal accumulation on azimuth is achieved, the azimuth angle estimation error caused by array turning is eliminated accordingly. The experimental results also show that FTMV method responses more quickly, has lower computational complexity, and is more robust than the traditional Minimum Variance Method (MV) method.
出处
《声学学报》
EI
CSCD
北大核心
2005年第4期303-308,共6页
Acta Acustica
基金
国家自然科学基金资助项目(10174087)
关键词
聚焦变换
宽带信号方位
稳健估计
鲁棒性能
声呐
信号处理
Acoustic arrays
Acoustic signal processing
Focusing
Frequency domain analysis
Parameter estimation
Signal to noise ratio
Time domain analysis
