Track-Before-Detect for Bistatic Radar Based on Velocity Filtering

Conventional track-before-detect methods for bistatic radar usually detect weak target according to an approximate target motion model. The inaccuracy of this approximation motion model tends to cause degradation of detection performance. To remedy this issue, a weak target detection algorithm for bistatic radar with velocity filtering based on the accurate target motion model is addressed in this paper. First, the evolutions of bistatic range and incident angle are obtained by the constant velocity motion model in Cartesian coordinate system (CCS). Then, the cells in the bistatic polar coordinate system (PCS) are transformed into the CCS and their positions in the CCS are predicted with the help of the supposed velocity. Further, the predicted positions are transformed inversely into the bistatic PCS and the measurement of each cell is added to that of the cell nearest its predicted position to realize multiframe accumulation. The process of energy integration and the output envelope of bistatic PCS are deduced elaborately. Finally, the effectiveness and superiority of the proposed method is demonstrated by several simulation results.

[1]  Danilo Orlando,et al.  Track-Before-Detect Strategies for STAP Radars , 2010, IEEE Transactions on Signal Processing.

[2]  Vikram Krishnamurthy,et al.  Performance analysis of a dynamic programming track before detect algorithm , 2002 .

[3]  Jianyu Yang,et al.  A Computationally Efficient Particle Filter for Multitarget Tracking Using an Independence Approximation , 2013, IEEE Transactions on Signal Processing.

[4]  H. L. Kennedy,et al.  Efficient Velocity Filter Implementations for Dim Target Detection , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[5]  Gongjian Zhou,et al.  Track-Before-Detect Technique in Mixed Coordinates , 2018, 2018 21st International Conference on Information Fusion (FUSION).

[6]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[7]  Matthew Dragovic Velocity Filtering for Target Detection and Track Initiation , 2003 .

[8]  Danilo Orlando,et al.  Track-before-detect algorithms for bistatic sonars , 2010, 2010 2nd International Workshop on Cognitive Information Processing.

[10]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[11]  Gongjian Zhou,et al.  Pseudo-Spectrum Based Speed Square Filter for Track-Before-Detect in Range-Doppler Domain , 2019, IEEE Transactions on Signal Processing.

[12]  Paul Frank Singer Performance analysis of a velocity filter bank , 1997, Optics & Photonics.

[13]  John D. Sahr,et al.  The Manastash Ridge radar: A passive bistatic radar for upper atmospheric radio science , 1997 .

[14]  Vikram Krishnamurthy,et al.  Syntactic Models for Trajectory Constrained Track-Before-Detect , 2014, IEEE Transactions on Signal Processing.

[15]  Yaakov Bar-Shalom,et al.  Sonar tracking of multiple targets using joint probabilistic data association , 1983 .

[16]  Jianyu Yang,et al.  A tracking approach based on Dynamic Programming Track-Before-Detect , 2009, 2009 IEEE Radar Conference.

[17]  Ángel F. García-Fernández Track-before-detect labeled multi-bernoulli particle filter with label switching , 2016, IEEE Transactions on Aerospace and Electronic Systems.

[18]  S. Buzzi,et al.  Track-before-detect procedures for early detection of moving target from airborne radars , 2005, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Frédéric Lehmann,et al.  Recursive Bayesian Filtering for Multitarget Track-Before-Detect in Passive Radars , 2012, IEEE Transactions on Aerospace and Electronic Systems.

[20]  Hugh Griffiths,et al.  Bistatic and multistatic radar sensors for homeland security , 2006 .

[21]  Gongjian Zhou,et al.  A Velocity Filtering Method for Track - Before- Detect with Multiple Sensors , 2019, 2019 International Conference on Control, Automation and Information Sciences (ICCAIS).

[22]  Lee. R. Moyer,et al.  A Multi-Dimensional Hough Transform-Based Track-Before-Detect Technique for Detecting Weak Targets in Strong Clutter Backgrounds , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[23]  Yair Barniv,et al.  Dynamic Programming Solution for Detecting Dim Moving Targets , 1985, IEEE Transactions on Aerospace and Electronic Systems.

[24]  Luca Venturino,et al.  A Novel Dynamic Programming Algorithm for Track-Before-Detect in Radar Systems , 2013, IEEE Transactions on Signal Processing.

[25]  Jian Zheng,et al.  ANNDP-TBD algorithm for passive coherent location , 2017, 2017 36th Chinese Control Conference (CCC).