Research On Distributed SAR Imaging Based On Compressive Sensing

After years of modern radar technology's development and accumulation, theemergence of a lot of typical radar systems, SAR radar systems due to its numerousadvantages from the outset on the attention of experts and scholars put forward inimaging can already achieve sub-meter resolution performance levels and cansuccessfully achieve the observed scene for imaging a moving target positioning. In thispaper, distributed airborne SAR as research background, airborne SAR imagingpositioning of clutter suppression and distributed stationary and moving targets, in thesealgorithms, have joined the compressed sensing technology, through this technology toreduce the amount of data requirements for effectively reducing the areas of radarimaging system hardware design, data transmission pressure.This paper focuses on several SAR imaging algorithm, the main contents are:1. Introduces the principle of imaging and target detection traditional SARimaging system for imaging the back of the article will examine a moving target, andtherefore the impact of the traditional imaging algorithm speed of the object, and givesthis part of the experiment to validate these effects.2. Analyzes the distributed airborne SAR received echo characteristics of clutter,STAP application feasibility study on this platform, and given the specific process steps.Since the actual STAP process, the need to obtain a sufficient number of trainingsamples clutter covariance valuation does not provide real-life scenarios, taking intoaccount the advantages of compressed sensing techniques in this regard, the success ofthe introduction of this technology, which reduces the number of samples required forthe algorithm.3. We studied the use of compressed sensing method in distributed SAR imagingtechnology, imaging object is not limited to stationary objects, but also on the success ofimaging a moving target. CS based on a distributed technology still moving targetimaging algorithm, combined with the phase offset and compression sensing technologyadvantages, successfully reduce the radar antenna in a single direction, the distance ofthe sampling rate, the hardware design is a larger liberation. Finally, a number ofexperiments to verify the performance of the algorithm in different sub-sampling rate,SNRs to verify the effectiveness of the algorithm.