Optimum Signal Processing for Multichannel SAR: With

Application to High-Resolution Wide-Swath Imaging

Abstract:

A new method for processing multichannel synthetic aperture radar (SAR)

data to achieve desirable image characteristics is presented. The method is optimal

because it is derived by minimizing a mean-square-error cost function and

generalizes current methods for high-resolution wide-swath SAR signal

processing. The proposed method is easily implementable, can support a wide

range in the pulse repetition frequency (PRF), including cases with highly

nonuniform spatial sampling, and is robust against PRFs where current projection

techniques fail, cases where the PRF is ideally suited to clutter suppression. Point

spread functions for the proposed algorithms are presented, and the theory and

simulations are further corroborated by results using multichannel SAR data

measured by RADARSAT-2. We demonstrate that, if RADARSAT-2 were able to

illuminate a 250-km swath (300 km ground range), then, conceptually, the new

method would be able to process the highly no uniformly sampled data to provide

an extremely wide mode at approximately 5-m azimuth resolution.

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Existing System:

Point spread functions algorithms are presented, and the theory and

simulations are further corroborated by results using multichannel SAR data

measured by RADARSAT-2.

The RADARSAT-2 technology we used here is able to illuminate a 250-km

swath.

Proposed System:

The method is made optimal because it is derived by minimizing a mean-

square-error cost function and generalizes current methods for high-

resolution wide-swath SAR signal processing.

It is easily implementable, cansupport a wide range in the pulse repetition

frequency (PRF),including cases with highly nonuniform spatial

sampling,and robust against PRF.

The theory and simulation are further corroborated by results using

multichannel SAR data measured by RADARSAT-2.

Software Requirements:

Platform : JAVA(JDK 1.6)

Front End : JAVA Swing

Back End : MySQL

IDE : Net Beans 6.9

Operating System : Microsoft Windows XP

Hardware Requirements:

Processor : Pentium IV Processor

RAM : 512 MB

Hard Disk : 10GB

Monitor : 14” VGA COLOR MONITOR