Accurate three-dimensional tracking method in bistatic forward scatter radar

Cheng Hu,Tao Zeng,Chao Zhou

doi:10.1186/1687-6180-2013-66

Cheng Hu, Tao Zeng + Show 1 more

Open Access

https://doi.org/10.1186/1687-6180-2013-66

Copy DOI

Abstract

Accurate three-dimensional (3D) tracking in bistatic forward scatter radar (BFSR) isa challenging problem because of absent range resolution and poor measurements. Inthis article, an accurate 3D tracking method of BFSR is proposed. Aiming to overcomethe filter divergence caused by large initial state estimation error, firstly, anaccurate initial state estimation approach is presented based on analytic derivationand Levenberg–Marquardt algorithm, which has the potential to improve theaccuracy of initial state estimation. Furthermore, in order to reduce the computationcost of filtering process and speed up the filtering convergence rate, the accurateinitial state estimation and extended Kalman filter algorithm in BFSR are combined toachieve a precise target 3D tracking. Finally, the proposed accurate tracking methodis verified through comparative analysis of the simulation results.

Highlights

Because of the gain in bistatic RCS (up to 20–40 dB relative to monostatic RCS) in forward scatter region, bistatic forward scatter radar (BFSR) can effectively detect and track the target with low-speed or small RCS (including the stealth target) [1,2]
Because of the gain in bistatic RCS in forward scatter region, bistatic forward scatter radar (BFSR) can effectively detect and track the target with low-speed or small RCS [1,2]
Initial filtering value of extended Kalman filter (EKF) can only be obtained by solving over-determined nonlinear equations, which can never be avoided

Summary

Introduction

Because of the gain in bistatic RCS (up to 20–40 dB relative to monostatic RCS) in forward scatter region, bistatic forward scatter radar (BFSR) can effectively detect and track the target with low-speed or small RCS (including the stealth target) [1,2]. Accurate 3D tracking in forward scatter radar Because of the special geometry of forward scatter radar, parameters (i.e., Doppler shift, azimuth angle, elevation angle) cannot directly be measured when the target crosses the baseline, resulting in a large estimation error and seriously decreasing the tracking precision.

Results

Conclusion