Title :
Autocorrelation and modulus constraints in radar waveform optimization
Author :
Patton, Lee K. ; Rigling, Brian D.
Author_Institution :
Air Force Res. Lab., Wright-Patterson AFB, Dayton, OH
Abstract :
Two methods of constraining the waveform auto-correlation sequence (ACS) in a radar waveform optimization problem are compared. The first method directly constrains the envelope of the waveform ACS, whereas the second method indirectly constrains the waveform ACS through the imposition of a similarity constraint. Both methods are imposed in conjunction with constraints on the waveform modulus. The resulting nonlinear programming problems were formulated for a specific example, and solved using standard numerical algorithms. The results indicate that the similarity constraint may not be a useful means of constraining the waveform ACS when the waveform modulus is simultaneously constrained. The results also demonstrate that phase-only optimization can provide a significant decrease in computation time while providing near optimal results.
Keywords :
correlation theory; nonlinear programming; radar; nonlinear programming problems; phase-only optimization; radar waveform optimization; similarity constraint; standard numerical algorithms; waveform auto-correlation sequence; waveform modulus; Autocorrelation; Constraint optimization; Dynamic range; Interference constraints; Laboratories; Radar clutter; Radar signal processing; Shape; Signal processing algorithms; System performance; ACS constraints; Waveform optimization; constant modulus; nonlinear programming; similarity constraint;
Conference_Titel :
Waveform Diversity and Design Conference, 2009 International
Conference_Location :
Kissimmee, FL
Print_ISBN :
978-1-4244-2970-7
Electronic_ISBN :
978-1-4244-2971-4
DOI :
10.1109/WDDC.2009.4800335