Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization.
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Liu, T., Sun, J., Li, Q., Hao, Z., & Wang, G. (2021). Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization.. Sensors (Basel) https://doi.org/10.3390/s21227704
The OFDM chirp signal is suitable for MIMO radar applications due to its large time-bandwidth product, constant time-domain, and almost constant frequency-domain modulus. Particularly, by introducing the time-frequency structure of the non-linear frequency modulation (NLFM) signal into the design of an OFDM chirp waveform, a new OFDM-NLFM waveform with low peak auto-correlation sidelobe ratio (PASR) and peak cross-correlation ratio (PCCR) is obtained. IN-OFDM is the OFDM-NLFM waveform set currently with the lowest PASR and PCCR. Here we construct the optimization model of the OFDM-NLFM waveform set with the objective function being the maximum of the PASR and PCCR. Further, this paper proposes an OFDM-NLFM waveform set design algorithm inspired by alternating optimization. We implement the proposed algorithm by the alternate execution of two sub-algorithms. First, we keep both the sub-chirp sequence code matrix and sub-chirp rate plus and minus (PM) code matrix unchanged and use the particle swarm optimization (PSO) algorithm to obtain the optimal parameters of the NLFM signal's time-frequency structure (NLFM parameters). Next, we keep current optimal NLFM parameters unchanged, and optimize the sub-chirp sequence code matrix and sub-chirp rate PM code matrix using the block coordinate descent (BCD) algorithm. The above two sub-algorithms are alternately executed until the objective function converges to the optimal solution. The results show that the PASR and PCCR of the obtained OFDM-NLFM waveform set are about 5 dB lower than that of the IN-OFDM.
MIMO radar, NLFM, OFDM, alternating optimization, auto-correlation function sidelobe, block coordinate descent (BCD), cross-correlation function, particle swarm optimization (PSO), sub-chirp rate
National Natural Science Foundation of China (62073334)
External DOI: https://doi.org/10.3390/s21227704
This record's URL: https://www.repository.cam.ac.uk/handle/1810/332451
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/
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