Improved clustering and outlier detection based shortwave direction finding and crossing location algorithm

This paper innovatively proposes a shortwave direction finding (DF) and crossing location (CL) algorithm based on an improved clustering and outlier detection method. The proposed algorithm can reject the scattered azimuths and revise the error monitoring data using the improved clustering and outlier detection method. By practical verification, the quantified results prove that compared to the traditional DF and CL algorithm, the proposed algorithm can decrease the location error, improve the performance of the shortwave location system and is appropriate for actual monitoring.