MIMO array can obtain much more equivalent elements by using a small number of transmitters and receivers. However, according to traditional sampling theorem, a certain number of transmitters and receivers are still needed to obtain a dense equivalent array. Since the interesting targets of ground penetrating radar (GPR) are usually sparse, this paper presents a spare MIMO array GPR imaging sch...

We derive a theoretical framework for the recoverability of targets in the azimuth-range-Doppler domain using random sensor arrays and tools developed in the area of compressive sensing. In one manifestation of our theory we use Kerdock codes [2] as transmission waveforms and exploit some of their peculiar properties in our analysis. Not only our result is the first rigorous mathematical theory...

The novelty of this letter is that it capitalizes on noise waveform to construct measurement operator at the transmitter and presents a new method of how the analogue to digital converter (ADC) sampling rate in the monostatic multiple-input multiple-output (MIMO) noise radar can be reduced — without reduction in waveform bandwidth — through the use of compressive sensing (CS). The proposed meth...

The Bi-directional Spatial Spectrum for MIMO Radar and Its Applications by Jason Yu Department of Electrical and Computer Engineering Duke University

A multiple input multiple output ultra-wideband cognitive radar based on compressive sensing is presented in this letter. For traditional UWB radar, high sampling rate analog to digital converter at the receiver is required to meet Shannon theorem, which increases hardware complexity. In order to bypass the bottleneck of ADC or further increase the radar bandwidth using the latest wideband ADC,...

This paper describes the X-band dual polarization phased array radar being developed at the University of Massachusetts. The high level system architecture is presented. The scanning strategy as well as pulse compressor design considerations are discussed.

............................................................................................................... 13 CHAPTER 1 – INTRODUCTION ........................................................................... 15 CHAPTER 2 – AUTOMATIC TARGET RECOGNITION .................................. 22 2.1 Automatic Target Recognition for Monostatic Radar ................................. 22 2.1.1 Pr...

The accurate detection of targets is a significant problem in multiple-input multiple-output (MIMO) radar. Recent advances of Compressive Sensing offer a means of efficiently accomplishing this task. The sparsity constraints needed to apply the techniques of Compressive Sensing to problems in radar systems have led to discretizations of the target scene in various domains, such as azimuth, time...