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Low Correlation Interference OFDM-NLFM Waveform Design for MIMO Radar Based on Alternating Optimization.

Tianqu Liu1, Jinping Sun1, Qing Li2

  • 1School of Electronics & Information Engineering, Beihang University, Beijing 100191, China.

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|November 27, 2021
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Summary
This summary is machine-generated.

This study introduces a novel Orthogonal Frequency Division Multiplexing Non-Linear Frequency Modulation (OFDM-NLFM) waveform set for MIMO radar. The new design significantly reduces peak auto-correlation and cross-correlation sidelobe ratios compared to existing methods.

Keywords:
MIMO radarNLFMOFDMalternating optimizationauto-correlation function sidelobeblock coordinate descent (BCD)cross-correlation functionparticle swarm optimization (PSO)sub-chirp rate

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Area of Science:

  • Radar Signal Processing
  • Waveform Design
  • Multiple-Input Multiple-Output (MIMO) Radar Systems

Background:

  • Orthogonal Frequency Division Multiplexing (OFDM) chirp signals offer advantages for MIMO radar due to their large time-bandwidth product and stable domain characteristics.
  • Non-Linear Frequency Modulation (NLFM) signals possess desirable time-frequency structures.
  • Existing OFDM-NLFM waveforms, like IN-OFDM, aim to minimize peak auto-correlation sidelobe ratio (PASR) and peak cross-correlation ratio (PCCR).

Purpose of the Study:

  • To develop an optimized OFDM-NLFM waveform set with minimized PASR and PCCR.
  • To introduce a novel algorithm for designing OFDM-NLFM waveform sets.
  • To improve upon the performance of existing IN-OFDM waveform sets.

Main Methods:

  • Constructed an optimization model for the OFDM-NLFM waveform set, targeting the maximization of PASR and PCCR.
  • Proposed an alternating optimization algorithm combining Particle Swarm Optimization (PSO) and Block Coordinate Descent (BCD).
  • PSO was used to optimize NLFM parameters, while BCD optimized sub-chirp sequence and PM code matrices iteratively.

Main Results:

  • The proposed algorithm successfully designed an OFDM-NLFM waveform set.
  • The resulting waveform set achieved PASR and PCCR approximately 5 dB lower than the IN-OFDM set.
  • Demonstrated the effectiveness of the alternating optimization approach for waveform design.

Conclusions:

  • The novel OFDM-NLFM waveform set offers superior performance in terms of correlation properties compared to IN-OFDM.
  • The alternating optimization algorithm provides an effective method for designing high-performance radar waveforms.
  • This advancement has significant implications for enhancing MIMO radar capabilities.