Improved compressed sensing radar by fusion with matched filtering
Compressed Sensing (CS) provides a rich mathematical framework to efficiently acquire a sparse signal from few non-adaptive measurements. In radar imaging, most scenes are sparse and CS can be successfully applied for efficiently acquiring the target scene. Although the use of CS in radar is advanta...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2014
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| Online Access: | https://hdl.handle.net/10356/103631 http://hdl.handle.net/10220/23921 |
| _version_ | 1811690103216537600 |
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| author | Dauwels, Justin Srinivasan, K. |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Dauwels, Justin Srinivasan, K. |
| author_sort | Dauwels, Justin |
| collection | NTU |
| description | Compressed Sensing (CS) provides a rich mathematical framework to efficiently acquire a sparse signal from few non-adaptive measurements. In radar imaging, most scenes are sparse and CS can be successfully applied for efficiently acquiring the target scene. Although the use of CS in radar is advantageous in many aspects, a higher noise in the received signal makes the output of CS unreliable. We propose a framework based on CS and matched filtering to improve the performance of CS particularly in high noise scenarios. We realize this framework by CS on chirp signal and discuss some limitations associated with it. Numerical experiments confirm a substantial performance improvement using the proposed framework compared to conventional CS reconstruction. |
| first_indexed | 2024-10-01T05:58:40Z |
| format | Conference Paper |
| id | ntu-10356/103631 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:58:40Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1036312020-03-07T13:24:51Z Improved compressed sensing radar by fusion with matched filtering Dauwels, Justin Srinivasan, K. School of Electrical and Electronic Engineering IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Compressed Sensing (CS) provides a rich mathematical framework to efficiently acquire a sparse signal from few non-adaptive measurements. In radar imaging, most scenes are sparse and CS can be successfully applied for efficiently acquiring the target scene. Although the use of CS in radar is advantageous in many aspects, a higher noise in the received signal makes the output of CS unreliable. We propose a framework based on CS and matched filtering to improve the performance of CS particularly in high noise scenarios. We realize this framework by CS on chirp signal and discuss some limitations associated with it. Numerical experiments confirm a substantial performance improvement using the proposed framework compared to conventional CS reconstruction. Accepted version 2014-09-30T08:39:45Z 2019-12-06T21:16:43Z 2014-09-30T08:39:45Z 2019-12-06T21:16:43Z 2014 2014 Conference Paper Dauwels, J. & Srinivasan, K. (2014). Improved compressed sensing radar by fusion with matched filtering. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 6795 - 6799. https://hdl.handle.net/10356/103631 http://hdl.handle.net/10220/23921 10.1109/ICASSP.2014.6854916 179002 en © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICASSP.2014.6854916]. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Dauwels, Justin Srinivasan, K. Improved compressed sensing radar by fusion with matched filtering |
| title | Improved compressed sensing radar by fusion with matched filtering |
| title_full | Improved compressed sensing radar by fusion with matched filtering |
| title_fullStr | Improved compressed sensing radar by fusion with matched filtering |
| title_full_unstemmed | Improved compressed sensing radar by fusion with matched filtering |
| title_short | Improved compressed sensing radar by fusion with matched filtering |
| title_sort | improved compressed sensing radar by fusion with matched filtering |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
| url | https://hdl.handle.net/10356/103631 http://hdl.handle.net/10220/23921 |
| work_keys_str_mv | AT dauwelsjustin improvedcompressedsensingradarbyfusionwithmatchedfiltering AT srinivasank improvedcompressedsensingradarbyfusionwithmatchedfiltering |