Xampling-enabled coexistence in spectrally crowded environments
Kumar Vijay Mishra, David Cohen, Shahar Tsiper, Shahar Stein, Eli Shoshan, Moshe Namer, Maxim Meltsin, Ron Madmoni
Abstract
We present a composite suite of technologies for spectral coexistence of existing communication and radar systems using the Xampling framework. For a stand-alone communication system, we consider a cognitive radio (CRo) that receives multiband signals with unknown carrier frequencies and directions of arrival, and demonstrate joint spectrum sensing via CompreSsed CArrier and Direction-ofarrival Estimation (CaSCADE) with an L-shaped configuration of two uniform linear arrays. For radars operating in bands with widespread spectral interference, we present an X-band prototype of cognitive sub-Nyquist multiple input multiple output (MIMO) radar (SUMMeR). The prototype allows sampling in both spatial and spectral domains at sub-Nyquist rates and cognitively transmits over multiple narrow subbands. Finally, we demonstrate Spectral Coexistence via Xampling (SpeCX) technology that shows joint operation of both - cognitive radio and cognitive monostatic radar - over a common spectrum. Our solutions to individual and joint operation of communication and radar systems supersede existing spectrum sharing technologies that require a compromise over performance of one of the systems.
BibTeX
@inproceedings{icassp2017_xamplingenabledc,
title = {Xampling-enabled coexistence in spectrally crowded environments},
author = {Kumar Vijay Mishra and David Cohen and Shahar Tsiper and Shahar Stein and Eli Shoshan and Moshe Namer and Maxim Meltsin and Ron Madmoni and Eran Ronen and Yana Grimovich and Yonina C. Eldar},
booktitle = {ICASSP 2017},
year = {2017}
}