A mathematical model for MIMO imaging

Yufeng Cao; Juan F. Lopez Jr.; Alex Martinez; Zhijun Qiao

doi:10.1117/12.918920

15 May 2012 A mathematical model for MIMO imaging

Yufeng Cao, Juan F. Lopez Jr., Alex Martinez, Zhijun Qiao

Proceedings Volume 8393, Signal and Data Processing of Small Targets 2012; 839308 (2012) https://doi.org/10.1117/12.918920
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

Multiple Input Multiple Output- MIMO Radar is a fast growing research area. This paper will give a brief introduction to the subject as well as derive an image formation scheme. The general problem of radar imaging is to use some physical model for a transmitted signal, and measurements of the signal that is scattered back to a receiver by a scene to attempt to derive information about the scene. The concept of communication involves a message sender, a message receiver, and a channel. The sender sends a message through the channel to the receiver. The receiver attempts to recover the original message. MIMO communication is just communication that involves sending several messages to several recipients. The problem of Multiple Input Multiple Output Radar Imaging is to use the corruption of transmitted messages to try and derive useful information about the environment that the messages traveled through. The extra information gained with MIMO Radar can be used to get rid of false targets, detect moving targets, and create a better resolution image. The plan for this research is to culminate to an in-scene 3-d Image reconstruction algorithm. The model presented provides a context in which to examine this problem.

Citation Download Citation

Yufeng Cao, Juan F. Lopez Jr., Alex Martinez, and Zhijun Qiao "A mathematical model for MIMO imaging", Proc. SPIE 8393, Signal and Data Processing of Small Targets 2012, 839308 (15 May 2012); https://doi.org/10.1117/12.918920

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