基于质量评价的辐射源定位精度提升方法

Improvement method of emitter location accuracy based on quality evaluation

针对辐射源定位精度受限于测量环境、监测设备等因素的问题,提出一种基于质量评价的测量精度提升(MAI)方法。根据监测设备的误差范围,将每个观测点可能的取值区间均分为若干段,每段取中值作为测量值;将所有测点可能的取值重新组合后,计算得到多个结果和质量评价指标,并选择评价指标最好的结果作为测量结果。所提方法与基于到达信号强度(SOA)的辐射源定位方法相结合,将复相关系数、位置偏差系数、信号强度方差作为评价指标,以复相关系数接近于1且位置偏差系数小于某指定值的结果为有效结果,有效结果中信号强度方差最小的即为最终的测量结果。为提高计算性能,在测点数大于5时,对该方法进行了改进:首先将前5个测点使用此定位方法进行计算,并将所有有效结果按信号强度方差排序,取前L个结果与第6个测点的测量值组合,重新计算得到多个结果;然后再排序、取前L个结果,并与下一个测点重新组合计算,直到所有的测点都参与组合计算,最后得出结果。仿真实验结果表明,所提方法可以在不增加硬件成本的条件下,以牺牲计算性能为代价,大幅度提升定位精度。

Aiming at the problem that the emitter location accuracy is limited by measurement environment,monitoring equipment and other factors,a Measurement Accuracy Improvement(MAI)method based on quality evaluation was proposed.The possible value range of each measurement point was divided into several sections according to the error range of monitoring equipment,and the median value was taken as the measurement value in each section.After recombining the possible values of all measurement points,multiple results and quality evaluation indexes were obtained,and the result with the best evaluation index was selected as the measurement result.The proposed method was combined with the emitter location method based on signal Strength of Arrival(SOA),and the complex correlation coefficient,location deviation coefficient and signal intensity variance were used as evaluation indexes.The results which complex correlation coefficients were closed to 1 and location deviation coefficients were less than a specified value were the effective results,and the final measurement result was the one with the smallest signal intensity variance among the effective results.In order to improve the calculation performance,this location method was improved when the number of measurement points is more than 5.Firstly,the first 5 measurement points were calculated using this location method,and all effective results were sorted according to the signal intensity variance.The first L results were combined with the sixth measurement point,and multiple results were obtained by recalculation.Then these results were sorted to take the first L results which were re-combinationally calculated with the next measurement point,until all the measurement points were participated in the combination calculation in order to get the final result.The analysis and simulation results show that the proposed method can greatly improve the location accuracy without increasing the hardware cost,but at the expense of calculation performance.