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Markov Chain of Active Tracking in a Radar System and Its Application to Quantitative Analysis on Track Formation Range
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 Title & Authors
Markov Chain of Active Tracking in a Radar System and Its Application to Quantitative Analysis on Track Formation Range
Ahn, Chang-Soo; Roh, Ji-Eun; Kim, Seon-Joo; Kim, Young-Sik; Lee, Juseop;
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Markov chains for active tracking which assigns additional track illuminations evenly between search illuminations for a radar system are presented in this article. And some quantitative analyses on track formation range are discussed by using them. Compared with track-while-search (TWS) tracking that uses scan-to-scan correlation at search illuminations for tracking of a target, active tracking has shown the maximum improvement in track formation range of about 27.6%. It is also shown that the number and detection probability of additional track beams have impact on the track formation range. For the consideration of radar resource management at the preliminary radar system design stage, the presented analysis method can be used easily without the need of Monte Carlo simulation.
Markov chain;Radar;Track formation range;Track-while-search;Active tracking;
 Cited by
E. R. Billam, “MESAR-the Application of Modern Technology to Phased Array Radar,” IEE Tutorial Meeting on Phased Array Radar, September 1989.

R. Hendrix, “Aerospace System Improvements Enabled by Modern Phased Array Radar-2008,” IEEE Int. Radar Conf., 2008, pp. 275-280.

E. R. Billam, "Parameter Optimization in Phased Array Radar," IEEE Int. Conf. on Radar, 1992, pp. 34-37.

J. E. Fielding, “Beam Overlap Impact on Phased- Array Target Detection,” IEEE Trans. AES, vol. 29, no. 2, pp. 404-411, 1993.

P. J. Fielding and A. M. Kinghorn, “Waveform Optimisation for efficient Resource Allocation in Airborne AESA Radar Systems,” IEE Multifunction Radar and Sonar Sensor Management Techniques, November 2001.

G. van Keuk and S. S. Blackman, “On Phased-Array Radar Tracking and Parameter Control,” IEEE Trans. AES, vol. 29, no. 1, pp. 186-194, 1993.

Y. Boers, H. Driessen, and J. Zwaga, “Adaptive MFR Parameter Control : Fixed against Variable Probabilities of Detection,” IEE Proceedings-Radar, Sonar, and Navigation, vol. 153, no. 1, pp. 2-6, 2006. crossref(new window)

C. Ting, H. Zi-shu, and T. Ting, “An IMM-Based Adaptive-Update-Rate Target Tracking Algorithm for Phased-Array Radar,” Int. Symp. on Intelligent Signal Processing and Communication Systems, November 2007, pp. 854-857.

A. Charlish, K. Woodbride and H. Griffiths, “Information Theoretic Measures for MFR Tracking Control,” IEEE Int. Radar Conf., May 2010, pp. 987-992.

T. R. Kronhamn, “AEW Performance Improvements with the ERIEYE Phased Array Radar,” IEEE National Radar Conf., 1993, pp. 34-39.

J. R. Hashimi, S. S. Blackman, and S. P. Ickovic, “Simulation of an Air-to-Air Tracking System for an Electronically Steered Antenna,” in Proceedings of the Summer Computer Simulation Conf., 1987, pp. 279-284.

S. S. Blackman, Multiple-Target Tracking with Radar Application, Artech House, 1986.

S. S. Blackman and R. Popoli, Design and Analysis of Modern Tracking system, Artech House, 1999.