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Waveform Optimization for Target Scattering Coefficients Estimation Under Detection and Peak-to-Average Power Ratio Constraints in Cognitive Radar.

Authors :
Chen, Peng
Wu, Lenan
Qi, Chenhao
Source :
Circuits, Systems & Signal Processing; Jan2016, Vol. 35 Issue 1, p163-184, 22p
Publication Year :
2016

Abstract

This work investigates the estimation of target scattering coefficients (TSC) in cognitive radar systems with temporally correlated targets. An estimation method based on Kalman filtering (KF) is proposed to exploit the temporal TSC correlation between the pulses in the frequency domain. To minimize the mean square error of the estimated TSC at each KF iteration, unlike existing indirect methods, in this paper the radar waveform is optimized directly under the constraints of transmitted power, peak-to-average power ratio (PAPR) and detection probability. Since the optimization problem regarding the waveform design is non-convex, a novel method is proposed to convert this problem into a convex one. Simulation results demonstrate that the performance of the TSC estimation for the temporally correlated target is significantly improved by radar waveform optimization. Meanwhile, no performance degradation is observed with the introduction of the additional PAPR constraints and the detection constraints for KF estimation with the optimized waveform. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0278081X
Volume :
35
Issue :
1
Database :
Complementary Index
Journal :
Circuits, Systems & Signal Processing
Publication Type :
Academic Journal
Accession number :
112261035
Full Text :
https://doi.org/10.1007/s00034-015-0048-y