Radar Waveform Design Based on Optimization Theory:
The book contains 10 chapters and the following topics are dealt with: On recent advances of binary sequence designs and their applications; Quadratic optimization for unimodular sequence synthesis and applications; A computational design of phase-only (possibly binary) sequences for radar systems;...
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| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Stevenage London
SciTech Publishing, an imprint of The Institution of Engineering and Technology
2020
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| Links: | https://app.knovel.com/hotlink/toc/id:kpRWDBOT01/radar-waveform-design?kpromoter=marc |
| Summary: | The book contains 10 chapters and the following topics are dealt with: On recent advances of binary sequence designs and their applications; Quadratic optimization for unimodular sequence synthesis and applications; A computational design of phase-only (possibly binary) sequences for radar systems; Constrained radar code design for spectrally congested environments via quadratic optimization; Robust transmit code and receive filter design for extended targets detection in clutter; Optimizing radar transceiver for Doppler processing via non-convex programming; Radar waveform design via the majorization-minimization framework; Lagrange programming neural network for radar waveform design; Cognitive local ambiguity function shaping with spectral coexistence and experiments; and Relative entropy-based waveform design for MIMO radar |
| Physical Description: | 1 Online-Ressource (xxii, 324 Seiten) Illustrationen |
| ISBN: | 1785619446 9781785619441 |
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MARC
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| 245 | 0 | 0 | |a Radar Waveform Design Based on Optimization Theory |c edited by Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li |
| 264 | 1 | |a Stevenage |a London |b SciTech Publishing, an imprint of The Institution of Engineering and Technology |c 2020 | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 Online-Ressource (xxii, 324 Seiten) |b Illustrationen | ||
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| 337 | |b c | ||
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| 520 | |a The book contains 10 chapters and the following topics are dealt with: On recent advances of binary sequence designs and their applications; Quadratic optimization for unimodular sequence synthesis and applications; A computational design of phase-only (possibly binary) sequences for radar systems; Constrained radar code design for spectrally congested environments via quadratic optimization; Robust transmit code and receive filter design for extended targets detection in clutter; Optimizing radar transceiver for Doppler processing via non-convex programming; Radar waveform design via the majorization-minimization framework; Lagrange programming neural network for radar waveform design; Cognitive local ambiguity function shaping with spectral coexistence and experiments; and Relative entropy-based waveform design for MIMO radar | ||
| 700 | 1 | |a Cui, Guolong | |
| 700 | 1 | |a De Maio, Antonio |d 1974- | |
| 700 | 1 | |a Farina, A. |d 1948- | |
| 700 | 1 | |a Li, Jian |d 1965 April 17- | |
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| id | ZDB-10-ARA-on1202623316 |
| illustrated | Illustrated |
| indexdate | 2025-03-19T15:56:57Z |
| institution | BVB |
| isbn | 1785619446 9781785619441 |
| language | English |
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| physical | 1 Online-Ressource (xxii, 324 Seiten) Illustrationen |
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| publishDate | 2020 |
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| publisher | SciTech Publishing, an imprint of The Institution of Engineering and Technology |
| record_format | marc |
| spelling | Radar Waveform Design Based on Optimization Theory edited by Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li Stevenage London SciTech Publishing, an imprint of The Institution of Engineering and Technology 2020 ©2020 1 Online-Ressource (xxii, 324 Seiten) Illustrationen txt c cr The book contains 10 chapters and the following topics are dealt with: On recent advances of binary sequence designs and their applications; Quadratic optimization for unimodular sequence synthesis and applications; A computational design of phase-only (possibly binary) sequences for radar systems; Constrained radar code design for spectrally congested environments via quadratic optimization; Robust transmit code and receive filter design for extended targets detection in clutter; Optimizing radar transceiver for Doppler processing via non-convex programming; Radar waveform design via the majorization-minimization framework; Lagrange programming neural network for radar waveform design; Cognitive local ambiguity function shaping with spectral coexistence and experiments; and Relative entropy-based waveform design for MIMO radar Cui, Guolong De Maio, Antonio 1974- Farina, A. 1948- Li, Jian 1965 April 17- Erscheint auch als Druck-Ausgabe 9781785619434 |
| spellingShingle | Radar Waveform Design Based on Optimization Theory |
| title | Radar Waveform Design Based on Optimization Theory |
| title_auth | Radar Waveform Design Based on Optimization Theory |
| title_exact_search | Radar Waveform Design Based on Optimization Theory |
| title_full | Radar Waveform Design Based on Optimization Theory edited by Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li |
| title_fullStr | Radar Waveform Design Based on Optimization Theory edited by Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li |
| title_full_unstemmed | Radar Waveform Design Based on Optimization Theory edited by Guolong Cui, Antonio De Maio, Alfonso Farina, Jian Li |
| title_short | Radar Waveform Design Based on Optimization Theory |
| title_sort | radar waveform design based on optimization theory |
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