Radar target tracking by Kalman and particle filter

Abstract

Adaptive processing of radar data in a data processor is the processing of radar data using adaptive, cognitive, intelligent or smart filtering. Filters or so-called filter banks are used for filtration. We can observe, track and display targets captured by radar with these filters included. These filters also serve to process the tracked targets (distance, course, flight level, speed, measurement errors can be minimized by appropriate calculations in order to estimate the speed, acceleration and positioning as accurately as possible. Tracking is the process of updating real-time statuses and information based on the correlation and fusion of processed data from measurement using sensors. In this article we created a Particle filter that can observe the trajectory of randomly flying object in 2D space. The classic Kalman filter with the modern Particle filter is compared.