Awesome! Kumar just sent me the following:
Hi Igor,Here is the preprint: Cognitive Sub-Nyquist Hardware Prototype of a Collocated MIMO Radar by Kumar Vijay Mishra, Eli Shoshan, Moshe Namer, Maxim Meltsin, David Cohen, Ron Madmoni, Shahar Dror, Robert Ifraimov, Yonina C. Eldar
I hope all is well at your end. We recently built a hardware prototype of a MIMO radar that performs sub-Nyquist processing in both time and space. Your readers might be interested in this. The conference precursor to our journal paper is available at http://arxiv.org/abs/1608.01524
Kumar Vijay Mishra
We present the design and hardware implementation of a radar prototype that demonstrates the principle of a sub-Nyquist collocated multiple-input multiple-output (MIMO) radar. The setup allows sampling in both spatial and spectral domains at rates much lower than dictated by the Nyquist sampling theorem. Our prototype realizes an X-band MIMO radar that can be configured to have a maximum of 8 transmit and 10 receive antenna elements. We use frequency division multiplexing (FDM) to achieve the orthogonality of MIMO waveforms and apply the Xampling framework for signal recovery. The prototype also implements a cognitive transmission scheme where each transmit waveform is restricted to those pre-determined subbands of the full signal bandwidth that the receiver samples and processes. Real-time experiments show reasonable recovery performance while operating as a 4x5 thinned random array wherein the combined spatial and spectral sampling factor reduction is 87.5% of that of a filled 8x10 array.
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.