为提高被动声呐浮标参数估计精度, 提出一种基于最小二乘的多普勒最接近算法.算法在新多普勒最接近算法基础上, 利用目标辐射噪声中特征频率的多普勒信息, 构建一个长方矩阵, 在最小二乘意义下, 计算目标最接近距离和速度.使用泰勒展开公式, 分析了算法的误差特性.计算机仿真及空气试验表明, 该算法可以正确计算出目标参数.与被动声呐浮标其他算法相比, 显著地提高了目标参数估计精度.%To improve estimation precision of the passive sonobuoy parameters, a least square based Doppler closest point of approach (CPA) is proposed.On the basis of the new Doppler CPA, Doppler information of the characteristic frequency in radiated noise of target is used to construct a rectangular matrix, and the least square principle is employed to obtain the least square solutions to the nearest distance and speed of a target.Then, the error of the algorithm is analyzed using Taylor expansion formula.Computer simulation and air experiments show that the proposed method can calculate the target parameters correctly, and compared with other algorithms of a passive sonobuoy, the precision of target parameter estimation is improved significantly.
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