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Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar

In this paper, an adaptive algorithm is proposed to develop an orthogonally optimized waveforms with good correlation properties that are suitable for the detection of target in the presence of strong clutter. The joint optimization both at the transmitter and receiver is adapted based on the second...

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Detalles Bibliográficos
Autores principales: Reddy, B. Roja, Uttarakumari, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688293/
https://www.ncbi.nlm.nih.gov/pubmed/26702381
http://dx.doi.org/10.1186/s40064-015-1501-x
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author Reddy, B. Roja
Uttarakumari, M.
author_facet Reddy, B. Roja
Uttarakumari, M.
author_sort Reddy, B. Roja
collection PubMed
description In this paper, an adaptive algorithm is proposed to develop an orthogonally optimized waveforms with good correlation properties that are suitable for the detection of target in the presence of strong clutter. The joint optimization both at the transmitter and receiver is adapted based on the secondary data and clutter to maximize signal to interference noise ratio (SINR) with target and clutter knowledge. The result shows good correlation properties and better SINR and signal to clutter ratio (SCR) compared to the existing iterative algorithm. The proposed algorithm also shows improved detection even for lower SCR when implemented with GLRT.
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spelling pubmed-46882932015-12-23 Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar Reddy, B. Roja Uttarakumari, M. Springerplus Research In this paper, an adaptive algorithm is proposed to develop an orthogonally optimized waveforms with good correlation properties that are suitable for the detection of target in the presence of strong clutter. The joint optimization both at the transmitter and receiver is adapted based on the secondary data and clutter to maximize signal to interference noise ratio (SINR) with target and clutter knowledge. The result shows good correlation properties and better SINR and signal to clutter ratio (SCR) compared to the existing iterative algorithm. The proposed algorithm also shows improved detection even for lower SCR when implemented with GLRT. Springer International Publishing 2015-12-22 /pmc/articles/PMC4688293/ /pubmed/26702381 http://dx.doi.org/10.1186/s40064-015-1501-x Text en © Reddy and Uttarakumari. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Reddy, B. Roja
Uttarakumari, M.
Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar
title Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar
title_full Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar
title_fullStr Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar
title_full_unstemmed Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar
title_short Optimization of orthogonal adaptive waveform design in presence of compound Gaussian clutter for MIMO radar
title_sort optimization of orthogonal adaptive waveform design in presence of compound gaussian clutter for mimo radar
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4688293/
https://www.ncbi.nlm.nih.gov/pubmed/26702381
http://dx.doi.org/10.1186/s40064-015-1501-x
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