一种新的测向交叉定位算法

为了解决测向交叉定位系统在基线附近定位精度较低的问题,介绍了一种基于最小方差法的测向交叉新算法.该方法对于每个空间点,都以定位误差最小的算法和参数来计算目标位置.首先研究了3种测向交叉定位算法及距离解算误差,然后给出了基于最小方差的新算法流程图,最后对算法进行了仿真和性能分析.仿真结果表明,新算法明显地改善了基线附近的定位精度,提高了系统的抗干扰能力.该算法可适用于某些雷达组网系统的目标指示阶段.

A new algorithm for DOA 1ocation

In the Directing of Arrival(DOA) passive location system,the location precision of the areas around baseline is usually very low.In order to solve the problem,a new algorithm is put forward based on minimum variance.For each space spot,the algorithm and parameters that have minimum locating errors are used to calculate the position of the target.First,three kinds of DOA locating algorithms are introduced and the distance calculating errors are analyzed.Then,the flow chart of the minimum-variance based algorithm is given,and simulation results and performance analysis are also presented. The results show that the new algorithm can greatly improve the location precision of the areas around baseline,enhance the anti-jamming capability,and can be used in the target-indicating phase of some radar-netting systems.