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Fast encoding of synthetic aperture radar raw data using compressed sensing

Fast encoding of synthetic aperture radar raw data using compressed sensing
Fast encoding of synthetic aperture radar raw data using compressed sensing
Synthetic Aperture Radar (SAR) is active and coherent microwave high resolution imaging system, which has the capability to image in all weather and day-night conditions. SAR transmits chirp signals and the received echoes are sampled into In-phase (I) and Quadrature (Q) components, generally referred to as raw SAR data. The various modes of SAR coupled with the high resolution and wide swath requirements result in a huge amount of data, which will easily exceed the on-board storage and downlink bandwidth of a satellite. This paper addresses the compression of the raw SAR data by sampling the signal below Nyquist rate using ideas from Compressed Sensing (CS). Due to the low computational resources available onboard satellite, the idea is to use a simple encoder, with a 2D FFT and a random sampler. Decoding is then based on convex optimization or uses greedy algorithms such as Orthogonal Matching Pursuit (OMP)
978-1-4244-1197-9
Bhattacharya, Sujit
65999852-1b21-4147-a222-20aa8ca2876e
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Davies, M.E.
2f97d5ab-efda-4d6f-936d-00ae95d19e65
Bhattacharya, Sujit
65999852-1b21-4147-a222-20aa8ca2876e
Blumensath, Thomas
470d9055-0373-457e-bf80-4389f8ec4ead
Mulgrew, B.
95a3fbda-7de2-4583-b1f2-0a54a69b414a
Davies, M.E.
2f97d5ab-efda-4d6f-936d-00ae95d19e65

Bhattacharya, Sujit, Blumensath, Thomas, Mulgrew, B. and Davies, M.E. (2007) Fast encoding of synthetic aperture radar raw data using compressed sensing. IEEE Workshop on Statistical Signal Processing, United States. 26 - 29 Aug 2007. (doi:10.1109/SSP.2007.4301298).

Record type: Conference or Workshop Item (Paper)

Abstract

Synthetic Aperture Radar (SAR) is active and coherent microwave high resolution imaging system, which has the capability to image in all weather and day-night conditions. SAR transmits chirp signals and the received echoes are sampled into In-phase (I) and Quadrature (Q) components, generally referred to as raw SAR data. The various modes of SAR coupled with the high resolution and wide swath requirements result in a huge amount of data, which will easily exceed the on-board storage and downlink bandwidth of a satellite. This paper addresses the compression of the raw SAR data by sampling the signal below Nyquist rate using ideas from Compressed Sensing (CS). Due to the low computational resources available onboard satellite, the idea is to use a simple encoder, with a 2D FFT and a random sampler. Decoding is then based on convex optimization or uses greedy algorithms such as Orthogonal Matching Pursuit (OMP)

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More information

Published date: 2007
Venue - Dates: IEEE Workshop on Statistical Signal Processing, United States, 2007-08-26 - 2007-08-29
Organisations: Signal Processing & Control Grp

Identifiers

Local EPrints ID: 151917
URI: https://eprints.soton.ac.uk/id/eprint/151917
ISBN: 978-1-4244-1197-9
PURE UUID: 71c5ce2c-7440-4503-9c03-22a31dbe7a20

Catalogue record

Date deposited: 15 Jun 2010 10:58
Last modified: 18 Jul 2017 12:55

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