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Constrained Transmit Beampattern Design Using a Correlated LFM-PC Waveform Set in MIMO Radar.
Sheng Hong1, Yantao Dong1, Rui Xie2
1School of Information Engineering, Nanchang University, Nanchang 330031, China.
Sensors (Basel, Switzerland)
|February 7, 2020
Summary
This study introduces a novel correlated linear frequency modulation-phase coded (LFM-PC) waveform set for multiple-input-multiple-output (MIMO) radar. The LFM-PC waveforms enable effective transmit beampattern design with good ambiguity function properties.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Waveform Design
Background:
- Designing transmit beampatterns in MIMO radar is crucial for performance.
- Existing methods often struggle with waveform synthesis constraints like constant envelope and good ambiguity behavior.
- Linear Frequency Modulation (LFM) and Phase Coded (PC) waveforms have limitations.
Purpose of the Study:
- To design a desired transmit beampattern in MIMO radar.
- To satisfy the constraint of a good ambiguity function.
- To synthesize waveforms with constant-envelope and easy-generation properties using a correlated LFM-PC waveform set.
Main Methods:
- Derivation of the ambiguity function for the LFM-PC waveform set.
- Analysis of temporal and spatial characteristics of LFM-PC waveforms.
- Formulation of a bi-objective optimization problem for beampattern design and sidelobe level reduction.
- Application of a joint optimization strategy using Sequence Quadratic Programming (SQP) and Adaptive Clonal Selection (ACS) algorithms.
Main Results:
- Demonstrated superiority of LFM-PC waveforms over traditional LFM and PC waveforms.
- Identified frequency intervals, bandwidths, and phase-coded sequences as key factors affecting beampattern and sidelobe levels.
- Validated the efficiency of the proposed joint optimization strategy through simulations.
Conclusions:
- The proposed LFM-PC waveform set effectively addresses challenges in MIMO radar beampattern design.
- The developed optimization method successfully achieves desired beampatterns with low sidelobes.
- This approach offers a promising solution for advanced radar applications.
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