Detection rate optimization for Swerling 0, I, and III target models

In this work, we study the fundamental tradeoff between integration time and scan rate in coherent radars. The contrasting needs for a large probability of detection and a short scan time are carefully balanced by optimizing the detection rate, defined as the average number of detections from a target per unit of time. A solution for the optimum pulse train length is provided under Swerling 0 (non-fluctuating), Swerling I (χ2 with two degrees of freedom), and Swerling III (χ2 with four degrees of freedom) target fluctuation. Some examples are given to show the possible tradeoffs among the principal system parameters.

[1]  Luca Venturino,et al.  A search-and-revisit scanning policy to improve the detection rate in agile-beam radars , 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

[2]  Jingxu Han,et al.  Cumulative detection probability of stationary and moving targets by MIMO radar , 2011, 2011 IEEE RadarCon (RADAR).

[3]  G. V. Keuk,et al.  On phased-array radar tracking and parameter control , 1993 .

[4]  Luca Venturino,et al.  A New Look at the Radar Detection Problem , 2016, IEEE Transactions on Signal Processing.

[5]  E. R. Billam Phased array radar and the detection of 'low observables' , 1990, IEEE International Conference on Radar.

[6]  S. M. Tonissen,et al.  Maximum likelihood track-before-detect with fluctuating target amplitude , 1998 .

[7]  Mark A. Richards,et al.  Fundamentals of Radar Signal Processing , 2005 .

[8]  S. Watts Performance measures for airborne maritime surveillance radars , 1998 .

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

[10]  Luca Venturino,et al.  Track-before-detect for multiframe detection with censored observations , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[11]  Yaakov Bar-Shalom,et al.  Track-Before-Detect Algorithms for Targets with Kinematic Constraints , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Luca Venturino,et al.  Track-before-detect for sea clutter rejection: tests with real data , 2016, IEEE Transactions on Aerospace and Electronic Systems.

[13]  Edward S. Boylan,et al.  THEORY OF CUMULATIVE DETECTION PROBABILITY , 1964 .

[14]  Silvia Ferrari,et al.  A Comparison of Information Functions and Search Strategies for Sensor Planning in Target Classification , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[15]  S. W. Shaw,et al.  Efficient target tracking using dynamic programming , 1993 .

[16]  Samuel J. Davey,et al.  A Comparison of Detection Performance for Several Track-before-Detect Algorithms , 2008, 2008 11th International Conference on Information Fusion.

[17]  L. E. Brennan,et al.  Cumulative probability of detection for targets approaching a uniformly scanning search radar , 1963 .

[18]  Anna Freud,et al.  Design And Analysis Of Modern Tracking Systems , 2016 .

[19]  James P. Reilly,et al.  Radar design principles - Signal processing and the environment (2nd revised and enlarged edition) , 1991 .

[20]  S.S. Blackman,et al.  Multiple hypothesis tracking for multiple target tracking , 2004, IEEE Aerospace and Electronic Systems Magazine.

[21]  L. E. Brennan,et al.  A Two-Step Sequential Procedure for Improving the Cumulative Probability of Detection in Radars , 1965, IEEE Transactions on Military Electronics.