矢量水听器阵列浅海目标方位距离稳健联合估计

项目名称： 矢量水听器阵列浅海目标方位距离稳健联合估计

项目编号： No.U1204611

项目类型： 联合基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 金勇

作者单位： 河南大学

项目金额： 30万元

中文摘要： 矢量水听器阵列目标方位、距离稳健联合估计是矢量水听器研究的重要方向之一，相对于常规复矩阵处理方法，张量代数和多元数方法在描述阵列输出局部特性和整体多维特征方面具有一定优势，但浅海噪声背景下的矢量水听器阵列输出张量建模，小样本、流型扰动条件下稳健空间增益获取，目标距离、方位联合估计高效方法等关键技术亟待解决。本项目拟利用张量代数和波动方程建立浅海噪声背景下的矢量水听器阵列输出模型，探索采用方位依赖性内插矩阵技术的小样本、流型扰动条件下阵列输出张量的校正方法，并在此基础上研究基于线性收缩估计和序列迭代半正定规划理论的阵列输出张量波束形成方法，以获取稳健空间增益；进而采用MCMC（马尔科夫链蒙特卡洛）和张量切片方法调和目标方位、距离联合估计精度和运算效率之间的矛盾。最后，通过水池实验对算法进行验证和完善。

中文关键词： 水下目标；矢量水听器；方位估计；跟踪；波束形成

英文摘要： The joint estimation of target azimuth and range based on vector hydrophone array is one of the important research areas of the vector hydrophone. Compared with the conventional complex matrix approach, the tensor algebra and multi-nion method has certain advantages in describing the local characteristics and the overall multi-dimensional characteristics of the array output. To implement such methods, however, a lot of key problems need to be solved such as the output tensor modeling in the context of shallow ocean noise, robust spatial gain capturing in view of small samples and array manifold disturbances, developing efficient methods for the joint estimation of target ranges and azimuths etc.In this proposal, first the tensor algebra and the wave equation are planned to be used to establish the vector hydrophone array output model based on the shallow ocean noise model, then the array output tensor calibration method adopting azimuth-dependent interpolation matrix technology in the context of small samples and array manifold disturbances is to be explored, next the array output tensor beamforming methods based on linear shrinkage estimation and serial iterative semi-definite programming theory are to be studied to obtain robust spatial gain, next the MCMC (Markov chain Monte Carlo) and tensor slice method are

英文关键词： underwater target；acoustic vector sensor；DOA eatimation；tracking；beamforming