Conditional and constrained joint optimization of RADAR waveforms

In this paper we describe a methodology of jointly designing waveforms for a semi-cooperative, distributed radar system. Some radars have waveforms which are fixed and cannot adapt. The remainder of the group must optimize their emanations conditioned on the existence of the non-cooperative radars. We term this 'conditional joint optimization.' A special case is termed constrained joint optimization examines the problem when the RADAR configuration is completely cooperative. Only classic constraints such as phase-only, finite energy, etc. are considered. The overall metric that is used in the optimization is signal to interference plus noise ratio (SINR). We will show the results of a number of empirical experiments based on canonical spectra and knowledge aided sensor signal processing for expert reasoning (KASSPER) simulated data that show that a joint conditional design will outperform a non-cooperative, individually optimized RADAR network.

[1]  Joseph R. Guerci,et al.  Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise , 1999 .

[2]  Braham Himed,et al.  Energy threshold constraints in transmit waveform design , 2006, 2006 International Waveform Diversity & Design Conference.

[3]  Charles A. Stutt,et al.  A 'best' mismatched filter response for radar clutter discrimination , 1968, IEEE Trans. Inf. Theory.

[4]  S. Kay,et al.  Optimal Signal Design for Detection of Gaussian Point Targets in Stationary Gaussian Clutter/Reverberation , 2007, IEEE Journal of Selected Topics in Signal Processing.

[5]  Mark R. Bell.  Information theory and radar waveform design , 1993, IEEE Trans. Inf. Theory.

[6]  Lloyd J. Spafford.  Optimum radar signal processing in clutter , 1968, IEEE Trans. Inf. Theory.

[7]  Sophocles J. Orfanidis,et al.  Optimum Signal Processing: An Introduction , 1988 .

[8]  Steven M. Sussman,et al.  Least-square synthesis of radar ambiguity functions , 1962, IRE Trans. Inf. Theory.

[9]  J.R. Guerci,et al.  Knowledge-aided adaptive radar at DARPA: an overview , 2006, IEEE Signal Processing Magazine.

[10]  Calvin H. Wilcox,et al.  The Synthesis Problem for Radar Ambiguity Functions , 1991 .

[11]  Joseph R. Guerci,et al.  Multichannel matched transmit-receiver design in presence of signal-dependent interference and noise , 2000, Proceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop. SAM 2000 (Cat. No.00EX410).

[12]  John A. Nelder,et al.  A Simplex Method for Function Minimization , 1965, Comput. J..

[13]  Dante C. Youla,et al.  Optimum transmit-receiver design in the presence of signal-dependent interference and channel noise , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[14]  Benjamin Bachelor,et al.  Joint RADAR waveform design for networked ISR systems , 2006, 2006 International Waveform Diversity & Design Conference.