TY - EJOU
AU - Rosli, Siti Julia
AU - Rahim, Hasliza A
AU - Rani, Khairul Najmy Abdul
AU - Ngadiran, Ruzelita
AU - Mustafa, Wan Azani
AU - Jusoh, Muzammil
AU - Yasin, Mohd Najib Mohd
AU - Sabapathy, Thennarasan
AU - Abdulmalek, Mohamedfareq
AU - Ariffin, Wan Suryani Firuz Wan
AU - Alkhayyat, Ahmed
TI - A Hybrid Modified Sine Cosine Algorithm Using Inverse Filtering and Clipping Methods for Low Autocorrelation Binary Sequences
T2 - Computers, Materials \& Continua
PY - 2022
VL - 71
IS - 2
SN - 1546-2226
AB - The essential purpose of radar is to detect a target of interest and provide information concerning the target's location, motion, size, and other parameters. The knowledge about the pulse trainsâ€™ properties shows that a class of signals is mainly well suited to digital processing of increasing practical importance. A low autocorrelation binary sequence (LABS) is a complex combinatorial problem. The main problems of LABS are low Merit Factor (MF) and shorter length sequences. Besides, the maximum possible MF equals 12.3248 as infinity length is unable to be achieved. Therefore, this study implemented two techniques to propose a new metaheuristic algorithm based on Hybrid Modified Sine Cosine Algorithm with Cuckoo Search Algorithm (HMSCACSA) using Inverse Filtering (IF) and clipping method to achieve better results. The proposed algorithms, LABS-IF and HMSCACSA-IF, achieved better results with two large MFs equal to 12.12 and 12.6678 for lengths 231 and 237, respectively, where the optimal solutions belong to the skew-symmetric sequences. The MF outperformed up to 24.335% and 2.708% against the state-of-the-art LABS heuristic algorithm, xLastovka, and Golay, respectively. These results indicated that the proposed algorithm's simulation had quality solutions in terms of fast convergence curve with better optimal means, and standard deviation.
KW - Merit factor; autocorrelation; skew-symmetric sequences; combinatorial optimization; sine cosine algorithm; cuckoo search algorithm; radar system; wearable antenna; antenna and propagation
DO - 10.32604/cmc.2022.021719