Detraction the Clutter for the Best Binary Phase Codes that Begot By Genetic Algorithm Using Wiener Filter

Weaam Talaat Ali
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Weaam Talaat Ali: Researcher

European Journal of Engineering and Technology Research, 2018, vol. 1, issue 1, 9-14

Abstract: This work illustrates the performance of detraction of clutter (unwanted echo signals, which mask the desired target signal and make difficult to detect the target) as a result of binary codes generating by genetic algorithm with length up to 105 bits, with use the minimum peak sidelobes as criteria for generation codes. Then, for further reduction of sidelobes, the mismatched optimum integrated sidelobe level filter (Wiener filter) is used with and without White Gaussian Noise. When the mismatched filter is used without noise, then the reduction of sidelobe level has the improvement of peak sidelobe level value on the average (4-15) dB, and for integrated sidelobe level value on the average (5-17) dB, which depends on the code length while it is accompanied by, signal to noise ratio loss level in range (0.2-1.4) dB. On other hand, when the mismatched filter is used with noise, the signal to noise ratio loss level is in range (0.2-1.4) dB.

Keywords: Minimum Peak Sidelobe (MPS); wiener filter or mismatched optimum integrated sidelobe level filter (ISL) filter; Autocorrelation Function (ACF); Genetic algorithm (GA.); Signal to Noise Ratio Loss (SNRL). (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:1:y:2018:i:1:id:60059

DOI: 10.24018/ejeng.2016.1.1.59

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