DocumentCode :
1781028
Title :
Cognitive radar waveform design for spectral coexistence in signal-dependent interference
Author :
Aubry, A. ; De Maio, A. ; Piezzo, M. ; Naghsh, Mohammad Mahdi ; Soltanalian, Mojtaba ; Stoica, Petre
Author_Institution :
DIETI, Univ. di Napoli ”Federico II”, Naples, Italy
fYear :
2014
fDate :
19-23 May 2014
Abstract :
In this paper, we deal with cognitive design of the transmit signal and receive filter optimizing the radar detection performance without affecting spectral compatibility with some licensed overlaid electromagnetic radiators. We assume that the radar is embedded in a highly reverberating environment and exploit cognition provided by Radio Environmental Map (REM), to induce spectral constraints on the radar waveform, by a dynamic environmental database, to predict the actual scattering scenario, and by an Electronic Support Measurement (ESM) system, to acquire information about hostile active jammers. At the design stage, we develop an optimization procedure which sequentially improves the Signal to Interference plus Noise Ratio (SINR). Moreover, we enforce a spectral energy constraint and a similarity constraint between the transmitted signal and a known radar waveform. At the analysis stage, we assess the effectiveness of the proposed technique to optimizing SINR while providing spectral coexistence.
Keywords :
cognitive radio; design engineering; filtering theory; jamming; optimisation; radar detection; radar interference; radar signal processing; radio spectrum management; ESM; REM; cognitive radar waveform design; dynamic environmental database; electronic support measurement system; hostile active jammers; information acquisition; licensed overlaid electromagnetic radiators; radar detection performance optimization; radio environmental map; receive filter; scattering scenario prediction; signal-dependent interference; signal-to-interference-plus-noise ratio improvement; similarity constraint; spectral coexistence; spectral energy constraint; transmit signal; Clutter; Jamming; Optimization; Radar; Signal to noise ratio; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
Type :
conf
DOI :
10.1109/RADAR.2014.6875638
Filename :
6875638
Link To Document :
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