Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search
The orthogonality of transmitted waveforms is an important factor affecting the performance of MIMO radar systems. The orthogonal coded signal is a commonly adopted waveform in MIMO radar, and its orthogonality depends on the used orthogonal discrete code sequence set (ODCSs). Among existing optimiz...
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MDPI AG
2025-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/5/856 |
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| author | Wanbin Wang Lu Qian Yun Zhou |
| author_facet | Wanbin Wang Lu Qian Yun Zhou |
| author_sort | Wanbin Wang |
| collection | DOAJ |
| description | The orthogonality of transmitted waveforms is an important factor affecting the performance of MIMO radar systems. The orthogonal coded signal is a commonly adopted waveform in MIMO radar, and its orthogonality depends on the used orthogonal discrete code sequence set (ODCSs). Among existing optimization algorithms for ODCSs, the results designed by the greedy code search-based memetic algorithm (MA-GCS) have exhibited the best autocorrelation and cross-correlation properties observed so far. Based on MA-GCS, we propose a novel hybrid algorithm called the memetic algorithm with iterative greedy code search (MA-IGCS). Extensions involve replacing the greedy code search used in MA-GCS with a more efficient approach, iterative greedy code search. Furthermore, we propose an “individual uniqueness strategy” and incorporate it into our algorithm to preserve population diversity throughout iteration, thereby preventing premature stagnation and ensuring the continued pursuit of feasible solutions. Finally, the design results of our algorithm are compared with the MA-GCS. Experimental results demonstrate that the MA-IGCS exhibits superior search capability and generates more favorable design results than the MA-GCS. |
| format | Article |
| id | doaj-art-e6d5ab2dde604467bf4affd17e3c6d58 |
| institution | OA Journals |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-e6d5ab2dde604467bf4affd17e3c6d582025-08-20T02:06:13ZengMDPI AGRemote Sensing2072-42922025-02-0117585610.3390/rs17050856Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code SearchWanbin Wang0Lu Qian1Yun Zhou2School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaThe orthogonality of transmitted waveforms is an important factor affecting the performance of MIMO radar systems. The orthogonal coded signal is a commonly adopted waveform in MIMO radar, and its orthogonality depends on the used orthogonal discrete code sequence set (ODCSs). Among existing optimization algorithms for ODCSs, the results designed by the greedy code search-based memetic algorithm (MA-GCS) have exhibited the best autocorrelation and cross-correlation properties observed so far. Based on MA-GCS, we propose a novel hybrid algorithm called the memetic algorithm with iterative greedy code search (MA-IGCS). Extensions involve replacing the greedy code search used in MA-GCS with a more efficient approach, iterative greedy code search. Furthermore, we propose an “individual uniqueness strategy” and incorporate it into our algorithm to preserve population diversity throughout iteration, thereby preventing premature stagnation and ensuring the continued pursuit of feasible solutions. Finally, the design results of our algorithm are compared with the MA-GCS. Experimental results demonstrate that the MA-IGCS exhibits superior search capability and generates more favorable design results than the MA-GCS.https://www.mdpi.com/2072-4292/17/5/856radar orthogonal waveformsoptimization algorithmorthogonal discrete code sequence set (ODCSs)iterative greedy code search (IGCS) |
| spellingShingle | Wanbin Wang Lu Qian Yun Zhou Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search Remote Sensing radar orthogonal waveforms optimization algorithm orthogonal discrete code sequence set (ODCSs) iterative greedy code search (IGCS) |
| title | Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search |
| title_full | Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search |
| title_fullStr | Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search |
| title_full_unstemmed | Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search |
| title_short | Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search |
| title_sort | optimization of orthogonal waveform using memetic algorithm with iterative greedy code search |
| topic | radar orthogonal waveforms optimization algorithm orthogonal discrete code sequence set (ODCSs) iterative greedy code search (IGCS) |
| url | https://www.mdpi.com/2072-4292/17/5/856 |
| work_keys_str_mv | AT wanbinwang optimizationoforthogonalwaveformusingmemeticalgorithmwithiterativegreedycodesearch AT luqian optimizationoforthogonalwaveformusingmemeticalgorithmwithiterativegreedycodesearch AT yunzhou optimizationoforthogonalwaveformusingmemeticalgorithmwithiterativegreedycodesearch |