MIMO Radar Waveform Design With PAPR and Similarity Constraints

The paper investigates the joint design of transmit waveform and receive filter for multiple-input multiple-output radar in the presence of signal-dependent interference, subject to a peak-to-average-power ratio constraint as well as a waveform similarity constraint. Owing to this kind of signal dep...

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Veröffentlicht in:IEEE transactions on signal processing Jg. 66; H. 4; S. 968 - 981
Hauptverfasser: Cheng, Ziyang, He, Zishu, Liao, Bin, Fang, Min
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 15.02.2018
Schlagworte:
ASM
BSUM-M
Interference
MIMO radar
Optimization
PAPR constraint
Peak to average power ratio
primal-dual
receive filter
Signal processing algorithms
Signal to noise ratio
similarity constraint
transmit waveform
ISSN:1053-587X, 1941-0476
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Beschreibung
Zusammenfassung:The paper investigates the joint design of transmit waveform and receive filter for multiple-input multiple-output radar in the presence of signal-dependent interference, subject to a peak-to-average-power ratio constraint as well as a waveform similarity constraint. Owing to this kind of signal dependence and constraints, the formulated optimization problem of the output signal-to-interference-plus-noise ratio (SINR) maximization is NP-hard. To this end, an auxiliary variable is first introduced to modify the original problem, and then a primal-dual algorithm based on the block successive upper-bound minimization method of multipliers (BSUM-M) is developed to deal with the resulting problem. Moreover, an active set method is exploited to solve the quadratic programming problem involved in each update procedure of the proposed BSUM-M algorithm. Finally, numerical simulations are performed to demonstrate the superiority of the proposed algorithm over state-of-the-art methods in terms of the output SINR, beampattern, computational complexity, pulse compression, and ambiguity properties.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2017.2780052