A Novel Variable PRI Waveform Selection Method for Radar Target Tracking

Abstract:

In this paper, a novel adaptive waveform selection method is proposed for radar target tracking. In order to minimize the target state estimation MSE (Mean Square Error) on each tracking step, we adjust the PRI (Pulse Recurrence Interval) and pulse width of the emission signal with the constraint of average power. In this method, the position measurement CRLB (Cramer-Rao Lower Bound) is used to define the observation noise power, and then the relationship between the tracking performance and the waveform parameters is established to decide the optimal PRI. Simulations show that this method can improve the tracking accuracy effectively and dynamically.

• Periodical: Applied Mechanics and Materials (Volumes 48-49)
• Pages: 110-113
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.48-49.110
• Online since: February 2011
• Authors: Bing Wang, Hao Zhang, Hua Dong Meng
• Keywords: Adaptive Waveform Design, Kalman Filter (KF), Radar Measurement, Target Tracking

References

[1] P. Sira, Ying Li, Antonia Papandreou-Suppappola, Darryl Morrell, Douglas Cochran and Murallchar Rangaswamy, Waveform-Agile Sensing for Tracking, IEEE Signal Processing Magazine, pp.53-64, Jan (2009).

DOI: 10.1109/msp.2008.930418

[2] S. M. Sowelam and A. H. Tewfik, Waveform selection in radar target classification, IEEE Trans. Inform. Theory, vol. 46, no. 3, p.1014–1029, May (2000).

DOI: 10.1109/18.841178

[3] B. F. La Scala, W. Moran, and R. J. Evans, Optimal adaptive waveform selection for target detection, in Int. Conf. on Radar, 2003, pp.492-496.

DOI: 10.1109/radar.2003.1278791

[4] D. Kershaw, R. J. Evans, Optimal Waveform Selection for Tracking System, IEEE Trans on Information Theory, (1994).

[5] H. L. Van Trees: Detection Estimation and Modulation Theroy, Part III. NewYork, Wiley, (1971).

[6] S. Blackman and R. Popoli: Design and Analysis of Modern Tracking Systems, Artech House, (1999).