Title :
Adaptive Noise Waveform Design for Radar
Author :
Picciolo, Michael L. ; Griesbach, Jacob D. ; Goldstein, J. Scott
Abstract :
This paper introduces an adaptive radar waveform technique where a standard LFM waveform is used as an initial seed. The seed waveform is changed using a phase-only adaptive technique to minimize the resulting waveform´s power in specific areas associated with in-band and adjacent-band spectral regions. Adjacent-band power minimization reduces interference to other spectral users, while in-band power minimization improves the waveform performance in matching interference environments. The resulting waveform retains a constant modulus which is valuable for practical transmitters, yet exhibits a variable degree of phase noise. Results are shown for three levels of computational convergence in the power minimization process. Ambiguity functions are plotted for each waveform to illustrate waveform performance characteristics such as radar resolution, target ambiguities, sidelobe response, and Doppler tolerance.
Keywords :
Doppler shift; adaptive radar; radar resolution; Doppler tolerance; adaptive noise waveform design; adaptive radar waveform technique; adjacent-band power minimization; in-band power minimization; initial seed; radar resolution; seed waveform; sidelobe response; target ambiguities; Chirp modulation; Clutter; Convergence; Doppler radar; Frequency; Interference; Jacobian matrices; Matched filters; Radar imaging; Radar tracking; Ambiguity Function; Radar; Waveform Diversity;
Conference_Titel :
Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009. DSP/SPE 2009. IEEE 13th
Conference_Location :
Marco Island, FL
Print_ISBN :
978-1-4244-3677-4
Electronic_ISBN :
978-1-4244-3677-4
DOI :
10.1109/DSP.2009.4785966