论文部分内容阅读
为提高振速矢量阵常规波束形成(CBF)算法的方位估计能力,首先从旁瓣抑制与抗左右舷模糊两方面分析比较了两种矢量阵CBF的相关特性,然后给出两种改进算法:第一种算法利用振速通道抑制各项同性噪声的能力与解析振速的特殊形式,构造一种无噪声项的类声压阵协方差矩阵;第二种算法在其基础上将两个组合振速的差分矩阵与之相加,得到一种新的矩阵.最后利用常规波束形成算法,估计目标方位.理论分析表明:这种协方差矩阵无噪声干扰,并且保持了振速矢量阵的抗左右船舷模糊能力.
In order to improve the capability of azimuth estimation of the conventional beamforming (CBF) algorithm of vibration vector array, the correlation characteristics between two kinds of vector CBF are analyzed and compared from the sidelobe suppression and anti-port / starboard fuzzy control. Then two improved algorithms are given: The first algorithm uses the ability of vibration channel to suppress all the same-sex noise and the special form of analytical vibration velocity to construct a noise-like acoustic pressure array covariance matrix. On the basis of the second algorithm, two combined vibration Speed differential matrix is added to get a new matrix.Finally, the conventional beamforming algorithm is used to estimate the target position.The theoretical analysis shows that this covariance matrix has no noise interference, Boat side fuzzy ability.