A subset optimized based High Frequency direction finding cross location algorithm
W.L. Ji X. Shen · 2015
ABSTRACT: This paper innovatively proposes a subset optimized based high frequency direction finding cross location algorithm. The proposed algorithm pre-processes the monitoring data to increase the accuracy of the input monitoring data. And it is accomplished by selecting optimized subset which is based on the extracted composite feature in the first localization results and then selecting the direction finding stations with high degree of confidence. And the final location results are gotten using these optimized subsets for different target areas. The measured results show that compared to the traditional location algorithm, the proposed one increases the location accuracy and improves the performance of the current high frequency location system.