本文提出了基于最佳线性数据融合的双基地声呐定位优化算法。
An optimum linear data fusion localization algorithm for bi-static sonar is proposed.
在对双基地声呐定位原理和定位误差分析的基础上，提出了用定位精度的几何解释（GDOP）来表征双基地声呐定位误差的方法。
The localization principle of bistatic sonar is given and the GDOP(Geometry Dilution Of Precision) which used in bistatic radar for describing the localization error has been cited in bistatic sonar.
为了讨论混响对双基地声呐探测范围的影响，利用经验证的三维散射模型，讨论在不同入射、散射掠射角和散射方位角约束下的海底散射强度分布。
The distribution of sea-floor scattering strength held in the incident grazing angle, scattering graze angle, and scattering azimuthal angle was analyzed using a 3-D model that was validated.
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。
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.
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