DocumentCode
2998921
Title
An efficient hybrid adaptive pulse compression approach to radar detection
Author
Baghel, Vikas ; Panda, Amrit ; Panda, Ganapati
Author_Institution
Dept. of Electron., JSS Acad. of Tech. Educ., Noida, India
fYear
2013
fDate
12-14 Dec. 2013
Firstpage
335
Lastpage
339
Abstract
The adaptive pulse compression (APC) technique has been proposed in the literature of pulse compression radar for superior performance for polyphase coded signals in comparison to conventional matched filter (MF) and mismatched filter techniques. However, its performance degrades in case of binary phase coded signals. The recently reported hybrid MF and radial function (MF-RF) model performs well only for the single target case. Thus there is a need to develop a model which would perform efficiently both for single and multi-targets conditions for binary phase coded signals. To achieve this objective a hybrid model (APC-RF) combining the APC and radial function is developed. The performance of the new scheme has been evaluated under different noise and Doppler shift conditions. The results of the simulation study demonstrate superior performance of the proposed APC-RF model over several pulse compression techniques such as MF, APC and MF-RF.
Keywords
adaptive codes; binary codes; matched filters; phase coding; pulse compression; radar detection; radar signal processing; APC-RF technique; Doppler shift conditions; MF-RF model; binary phase coded signals; hybrid MF and radial function model; hybrid adaptive pulse compression approach; matched filter; mismatched filter techniques; multitarget conditions; polyphase coded signals; pulse compression radar; radar detection; Brain modeling; Computational complexity; Computational modeling; Delays; Doppler shift; Radio frequency; Signal to noise ratio; adaptive pulse compression; matched filter; minimum mean square error; pulse compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communication (ICSC), 2013 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-1605-4
Type
conf
DOI
10.1109/ICSPCom.2013.6719808
Filename
6719808
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