This paper studies the adaptive beamforming algorithm based on the frequency diverse array(FDA)array where the interference is located at the same angle(but different range)with the target.We take the cross subarray-b...This paper studies the adaptive beamforming algorithm based on the frequency diverse array(FDA)array where the interference is located at the same angle(but different range)with the target.We take the cross subarray-based FDA with sinusoidal frequency offset(CSB sin-FDA)as the receiving array instead of the basic FDA.The sampling covariance matrix under insufficient snapshot can be corrected by the automatic diagonal loading method.On the basis of decomposing the mismatched steering vector error into a vertical component and a parallel one,this paper searches the vertical component of the error by the quadratic constraint method.The numerical simulation verifies that the beamformer based on the CSB sin-FDA can effectively hold the mainlobe at the target position when the snapshot is insufficient or the steering vector is mismatched.展开更多
宽带能量检测是被动声纳实现目标探测功能的常用方法,常规能量检测(Conventional Energy Detection,CED)方法在复杂环境下的检测性能迅速降低。子带峰值能量检测(Subband Peak Energy Detection,SPED)可以有效改善常规能量检测方法的性...宽带能量检测是被动声纳实现目标探测功能的常用方法,常规能量检测(Conventional Energy Detection,CED)方法在复杂环境下的检测性能迅速降低。子带峰值能量检测(Subband Peak Energy Detection,SPED)可以有效改善常规能量检测方法的性能,提高时间方位历程显示(BTR)的方位分辨力,但是波束宽度和旁瓣将影响SPED算法的性能。提出了一种将导向最小方差(Steered Minimum Variance,STMV)的宽带自适应波束形成与SPED结合的宽带检测新方法,通过海试数据的处理,表明这种基于STMV的SPED方法的性能优于基于常规波束形成(CBF)的SPED方法。展开更多
基金supported by the National Natural Science Foundation of China(61503408)
文摘This paper studies the adaptive beamforming algorithm based on the frequency diverse array(FDA)array where the interference is located at the same angle(but different range)with the target.We take the cross subarray-based FDA with sinusoidal frequency offset(CSB sin-FDA)as the receiving array instead of the basic FDA.The sampling covariance matrix under insufficient snapshot can be corrected by the automatic diagonal loading method.On the basis of decomposing the mismatched steering vector error into a vertical component and a parallel one,this paper searches the vertical component of the error by the quadratic constraint method.The numerical simulation verifies that the beamformer based on the CSB sin-FDA can effectively hold the mainlobe at the target position when the snapshot is insufficient or the steering vector is mismatched.
文摘宽带能量检测是被动声纳实现目标探测功能的常用方法,常规能量检测(Conventional Energy Detection,CED)方法在复杂环境下的检测性能迅速降低。子带峰值能量检测(Subband Peak Energy Detection,SPED)可以有效改善常规能量检测方法的性能,提高时间方位历程显示(BTR)的方位分辨力,但是波束宽度和旁瓣将影响SPED算法的性能。提出了一种将导向最小方差(Steered Minimum Variance,STMV)的宽带自适应波束形成与SPED结合的宽带检测新方法,通过海试数据的处理,表明这种基于STMV的SPED方法的性能优于基于常规波束形成(CBF)的SPED方法。
