基于CHNN及混沌算法的联合概率数据关联研究  

Research on joint probability data association based on CHNN and chaos algorithm

作　　者：杨维[1] 

机构地区：[1]陕西国防工业职业技术学院,陕西西安710300

出　　处：《自动化与仪器仪表》2016年第5期183-184,186,共3页Automation & Instrumentation

摘　　要：联合概率数据关联算法(JPDA)是一种在杂波环境下能对多目标进行数据互联的良好算法。它的计算量随着回波数目和杂波数目的增加会呈指数上升。虽然有一些类JPDA的方法可以减少其计算量,但在杂波环境下其准确性仍不能保证。本文将JPDA中关联矩阵的求解等效为多维分配问题,通过霍普菲尔德神经网络CHNN及混沌算法等智能算法的应用来提高算法的准确性。Joint probabilistic data association(JPDA) algorithm is a good algorithm for multi-objective data interconnection in the clutter environment.It is calculated with the increase of the number of echoes and the increase of the number of the target.Although there are some classes of JPDA can reduce the calculation amount,in the clutter environment,the accuracy is still not guaranteed.In this paper,the problem of solving the correlation matrix of JPDA is equivalent to the problem of multi dimension assignment.The accuracy of the algorithm is improved by using the and CHNN algorithm.

关 键 词：联合概率数据关联算法 霍普菲尔德神经网络 混沌算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP311.13[自动化与计算机技术—控制科学与工程]