Skip to Main content Skip to Navigation
Conference papers

Phase Code Optimization for Coherent MIMO Radar Via a Gradient Descent

Abstract : 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.
Document type :
Conference papers
Complete list of metadatas

Cited literature [9 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01360275
Contributor : U. Tan <>
Submitted on : Friday, September 30, 2016 - 5:03:46 PM
Last modification on : Monday, August 24, 2020 - 4:16:05 PM
Long-term archiving on: : Sunday, January 1, 2017 - 12:14:52 PM

File

Tan_Radar16.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

U. Tan, C Adnet, O Rabaste, F Arlery, J.-P Ovarlez, et al.. Phase Code Optimization for Coherent MIMO Radar Via a Gradient Descent. 2016 IEEE Radar Conference (RadarConf16), May 2016, Philadelphie, PA, United States. pp.1-6, ⟨10.1109/RADAR.2016.7485178⟩. ⟨hal-01360275⟩

Share

Metrics

Record views

477

Files downloads

334