DocumentCode
3409341
Title
5Multi-objective waveform design for cognitive radar
Author
Zhang, J.D. ; Zhu, D.Y. ; Zhang, G.
Author_Institution
Coll. of Electron. Inf. & Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Volume
1
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
580
Lastpage
583
Abstract
An important characteristic of a cognitive radar is the capability to adjust its transmitted waveform to adapt to the radar environment. The adaptation of the transmit waveform requires an effective framework to synthesize waveforms that could provide different trade-offs between a variety of performance objectives. In this paper, phase-coded waveform, whose modulus is constant, is considered to be synthesized to realize a smooth trade-off between maximizing output signal-to-noise ratio (SNR) for a particular target and the mutual information (MI) between the received signal and the target response. A new iterative algorithm is proposed to synthesize constant modulus waveform to maximize SNR and MI simultaneously. Simulation results show that the performance of the synthesized waveforms is satisfactory and can approximate the ideal waveform.
Keywords
iterative methods; phase coding; radar signal processing; cognitive radar; constant modulus waveform synthesis; iterative algorithm; multiobjective waveform design; mutual information; output signal-to-noise ratio; performance objectives; phase-coded waveform; radar environment; received signal; target response; transmit waveform adaptation; Matched filters; Mutual information; Optimization; Radar detection; Signal to noise ratio; Vectors; Adaptive Waveform Design; Cognitive Radar; Mutual Information; Signal-to-Noise Ratio (SNR);
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159607
Filename
6159607
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