Phase Code Optimization for Coherent MIMO Radar Via a Gradient Descent
Résumé
In this paper, a gradient descent method is used to build radar waveform sequences with good autocorrelation and/or cross-correlation. The approach we propose is based on the energy, a function that measures the sidelobe level of a sequence, and its gradient. Then, we extend and apply it to the optimization of the coherent MIMO (Multiple Input Multiple Output) ambiguity function. We suggest to look for the transmitted signals that reduce the autocorrelation sidelobe level of the signal transmitted by the whole antenna. The obtained results, highlighted by the low sidelobe level of the ambiguity function, seem promising.
Mots clés
Waveform design
Gradient Descent
Antenna arrays
Directive antennas
MIMO
MIMO radar
Optimization
Transmitting antennas
Ambiguity Function
Aperiodic autocorrelation
Coherent MIMO Radar
Cross-correlation
Sidelobe level measurement
Correlation
Radar waveform sequence cross
Phase code optimization
Radar waveform sequence autocorrelation
Coherent multiple input multiple output ambiguity function- Gradient descent method
Coherent MIMO ambiguity function
Autocorrelation sidelobe level reduction
Radar signal processing
MIMO radar- Gradient methods
| Origine | Fichiers produits par l'(les) auteur(s) |
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