Performance of Ternary Sequence using Basic Cuckoo Search Algorithm
K. Renu1, P. Rajesh Kumar2
1K.Renu* , Department of Electrical, Electronics and Communication Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam, India.
2P.Rajesh Kumar, Department of Electronics and Communication Engineering, College of Engineering, Andhra University, Visakhapatnam, India,
Manuscript received on November 13, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 71-75 | Volume-9 Issue-2, December 2019. | Retrieval Number: A4892119119/2019©BEIESP | DOI: 10.35940/ijitee.A4892.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Matched filtering is broadly used in various radar applications and communication fields whose output indicates some range sidelobes which may mask some stronger targets. This problem can be overcome by using mismatched filter after the matched filter which increases the performance that is in terms of peak sidelobe ratio. The proposed algorithm is suitable to obtain superior performance in range resolution and detection range simultaneously. The characteristics of chaotic codes such as auto-correlation and cross-correlation are same as random codes. So the input is considered as binary and ternary chaotic sequence which is undergone matched filtering process which is then undergo mismatched filter for further reduction in the sidelobe levels. The design of mismatched filter is adapted with cuckoo search algorithm that uses Lévy distribution. It is observed that the performance of the ternary sequence is significantly improved at the output and this method is extended to various length of ternary sequences.
Keywords: Autocorrelation function (ACF), Cuckoo Search(CS) Method, Matched Filtering(MF), Mismatched filter(MMF), Pulse Compression, Peak Sidelobe ratio(PSLR).
Scope of the Article: Algorithm Engineering