DocumentCode
3055953
Title
Cross-correlation processing based an energy detection algorithm for non-carrier UWB radar
Author
Jisi Dong ; Shunsheng Zhang ; Xiu Wu
Author_Institution
Res. Inst. of Electron. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2013
fDate
21-26 July 2013
Firstpage
1537
Lastpage
1540
Abstract
In non-carrier Ultra-Wide Bandwidth (UWB) radar, the signal detection under the situation of range-walking and low Signal-to-Noise Ratio (SNR), is a big challenge. For example, the coherent integration will lose the effect and the performance of traditional energy detection algorithm, using the target´s range-extended characteristic, will also decrease. Hence, an energy detection algorithm based on cross-correlation accumulation for non-carrier UWB radar is proposed in this paper. The new technique, the cross-correlation processing, makes use of the similarity of the envelopes between the adjacent echoes to carry out motion compensation. Besides, the false alarm probability of the proposed algorithm is analyzed in detail in this paper. The simulation results show that the SNR can be increased by non-coherent integration after motion compensation. And the performance of the proposed method is better than the traditional energy detection algorithm in low SNR situation.
Keywords
correlation methods; motion compensation; probability; radar detection; ultra wideband radar; SNR; cross-correlation accumulation processing; energy detection algorithm; false alarm probability; motion compensation; noncarrier UWB radar; noncarrier ultrawidebandwidth radar; signal detection; signal-to-noise ratio; target range-extended characteristics; Correlation; Detection algorithms; Detectors; Scattering; Signal to noise ratio; Ultra wideband radar; Cross-Correlation accumulation; Energy Detection; non-carrier UWB radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6723080
Filename
6723080
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