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Code Optimization and Angle-Doppler Imaging for ST-CDM LFMCW MIMO Radar Systems
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DOI：10.1109/LSP.2022.3210834.png)
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Abstract
En 中文
We consider code optimization and angle-Doppler imaging for slow-time code division multiplexing (ST-CDM) linear frequency-modulated continuous-wave (LFMCW) multiple-input multiple-output (MIMO) radar systems. We optimize the slow-time code via the minimization of a Cramer-Rao Bound (CRB)-based metric to enhance the parameter estimation performance. Then, a computationally efficient RELAX-based algorithm is presented to obtain the maximum likelihood (ML) estimates of the target angle-Doppler parameters. Numerical examples show that the proposed approaches can be used to improve the performance of parameter estimation and angle-Doppler imaging of ST-CDM LFMCW MIMO radar systems.
Keywords:
Codes
Radio frequency
MIMO radar
Maximum likelihood estimation
Radar
Radar imaging
Signal processing algorithms
Angle-Doppler imaging
Cramer-Rao bound (CRB)
LFMCW
maximum-likelihood estimation
MIMO radar
RELAX
slow-time code optimization
ST-CDM
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W