DocumentCode :
2880779
Title :
Waveform design based on environmental sensing for sky-wave over-the-horizon radar
Author :
Zhongtao Luo ; Zishu He ; Jun Li ; Kun Lu ; Xuyuan Chen
Author_Institution :
Sch. of Electr. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2015
fDate :
10-15 May 2015
Abstract :
Sky-wave over-the-horizon (OTH) radar operates in the high-frequency (HF) band congested by external interferences. Owing to the serious occupancy, sometimes OTH radar cannot find suitable clear channel with sufficient bandwidth, especially when broad band is needed. This paper proposes a cognitive scheme of transmit waveform design in the presence of cochannel interference and colored noise. In the scheme, OTH radar monitors the environment in real time and designs transmit waveform adaptively. Environmental sensing based waveform (ESBW) is optimized under the criteria of maximizing the output signal-to-interference-plus-noise ratio (SINR) of matched filtering, and similarity constraint for reasonable range resolution and sidelobes level. The analytic solution to this constrained optimization problem is developed. A simulated scenario with strong interference and colored noise has been introduced. Simulation results demonstrate that ESBW suppresses the interference and colored noise effectively, and detects the target successfully.
Keywords :
cochannel interference; environmental factors; interference suppression; matched filters; optimisation; radar interference; radar resolution; radar transmitters; sensors; ESBW optimization; OTH radar; SINR; cochannel interference suppression; cognitive scheme; colored noise; constrained optimization problem; environmental sensing based waveform optimization; matched filtering; radar resolution; signal-to-interference-plus-noise ratio; sky-wave over-the-horizon radar; transmit waveform design; Colored noise; Interference; Monitoring; Radar; Sensors; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131056
Filename :
7131056
Link To Document :
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