What is it about?

We accomplish MTI processing in distributed MIMO radars. This is done by introducing coherent integration in distributed MIMO radars. Compressive sensing is employed to reduce computational complexity.

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Why is it important?

We believe this is the first work that introduces coherent integration and MTI processing in distributed MIMO radars. In addition, we have proposed a novel measurement matrix that hugely reduces the size of matrix and enable us to use it in even large scenarios. Almost all the assumptions are realistic. Different RCS values of a target seen by different transmitter-receiver pairs are considered. Clutter is included in the signal model. By proposing a two-stage algorithm, target detection and parameter estimation is done.

Perspectives

I would say the novelty of the paper is very high. Although, there are not so much proofs and mathematical analyses throughout the paper, but the idea and concepts are so novel and we have opened a new area.

Ehsan Tohidi
Sharif University of Technology

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This page is a summary of: Compressive Sensing MTI Processing in Distributed MIMO Radars , IET Signal Processing, October 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-spr.2016.0597.
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