Because of the separable resource and receiver, Multistatic sonar have many special character in underwater target detect and localization.
多基地声呐由于其收发设备分置，因而在水下目标的检测和定位方面，具有很多独特的优点。
Movement compensation is the key technique in synthetic aperture sonar(SAS) imaging, and it is normally realized in SAS system by the cross correlation of the raw echo data of multiple-receiver.
运动补偿是合成孔径声纳（SAS）成像的关键问题，SAS系统一般利用多接收元回波信号的互相关特性进行运动补偿。
Weighted least squares (WLS) localization algorithm for bistatic sonar was proposed by fusing the data of transmitter and receiver. The localization principle and error of the algorithm were given.
本文通过将双基地声呐中发射和接收站的测量数据进行融合处理，提出了基于加权最小二乘估计（WLS）的双基地声呐定位优化算法，给出了算法的原理和误差分布。
Weighted least squares (WLS) localization algorithm for bistatic sonar was proposed by fusing the data of transmitter and receiver. The localization principle and error of the algorithm were given.
本文通过将双基地声呐中发射和接收站的测量数据进行融合处理，提出了基于加权最小二乘估计（WLS）的双基地声呐定位优化算法，给出了算法的原理和误差分布。
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