Adaptive algorithms having the capacity to perform real-time optimization in response to a dynamic environment will be necessary for the development of a cognitive radar technology. This paper details an amplifier-in-the-loop algorithm to synthesize radar waveforms which are optimized for desired ambiguity function characteristics in a monostatic radar system, with constraints on the peak-to-average power ratio and spectrum of the waveform. The algorithm uses alternating projections to search for a waveform whose ambiguity function best approximates the goal for a volume-based constraint in desired regions of the range-Doppler plane. Results are shown for both simulation and measurement cases, both with and without the effects of a nonlinear amplifier. This waveform synthesis method is expected to be useful in real-time adaptive radar systems.
Amplifier-in-the-Loop Adaptive Radar Waveform Synthesis
IEEE Transactions on Aerospace and Electronic Systems ; 53 , 2 ; 826-836
2017-04-01
1619428 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Tema Archiv | 2003
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