Franklin

Radar Waveform Design Based on Optimization Theory / Guolong Cui; Antonio De Maio; Alfonso Farina; Jian Li [Eds].

Publication:
Stevenage : IET / SciTech, 2020.
Format/Description:
Book
1 online resource (348 pages)
Series:
Radar, Sonar & Navigation.
Radar, Sonar & Navigation
Status/Location:
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Details

Subjects:
Doppler radar.
Filters (Mathematics).
Mathematical analysis.
MIMO systems.
Neural networks (Computer science).
Quadratic programming.
Radar.
Radar transmitters.
Radar -- Interference.
Receivers.
Spectrum analysis.
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.
Contributor:
Guolong, Cui, ed.
De Maio, Antonio., ed.
Farina, Alfonso, ed.
Li, Jian, ed.
ISBN:
9781785619441
Publisher Number:
10.1049/SBRA533E doi
Access Restriction:
Restricted for use by site license.