Title :
Adaptive range tracking for radar technique
Author_Institution :
Israel Aerosp. Ind. & ELFI Tech, Israel
Abstract :
Range tracking, a traditional part of the radar/sonar range gating technique, requires a fully adaptive however simple target predictor. Under the constant velocity (CV) assumption, one can apply an adaptive gain form of the α-β filter based on the recursive prediction error method. The adaptive α-β terms tend to the Kalman gain and remain nearly optimal with a minor degradation caused by the parameter misadjustment noise. An extended variant of the filter allows, in addition to the CV form, both the polynomial and stochastic signals. The adaptive tracker improves the sensor bandwidth and allows more accurate range gating.
Keywords :
Kalman filters; adaptive signal processing; polynomials; prediction theory; radar tracking; recursive filters; sonar tracking; stochastic processes; Kalman gain; a-β filter; adaptive gain; adaptive range tracking; adaptive tracker; constant velocity assumption; polynomial signal; radar technique; recursive prediction error method; sonar range gating technique; stochastic signal; target predictor; Adaptation models; Adaptive filters; Equations; Logic gates; Noise; Radar tracking; Target tracking;
Conference_Titel :
Radar Conference (RADAR), 2011 IEEE
Conference_Location :
Kansas City, MO
Print_ISBN :
978-1-4244-8901-5
DOI :
10.1109/RADAR.2011.5960526