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Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search.

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Title: Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search.
Authors: Wang, Wanbin1 (AUTHOR), Qian, Lu1 (AUTHOR) qianlu@uestc.edu.cn, Zhou, Yun1 (AUTHOR)
Source: Remote Sensing. Mar2025, Vol. 17 Issue 5, p856-1. 22p.
Subjects: Optimization algorithms, Orthogonal codes, Greedy algorithms, MIMO systems, Cross correlation
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Wanbin%22">Wang, Wanbin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qian%2C+Lu%22">Qian, Lu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> qianlu@uestc.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Yun%22">Zhou, Yun</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Mar2025, Vol. 17 Issue 5, p856-1. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Orthogonal+codes%22">Orthogonal codes</searchLink><br /><searchLink fieldCode="DE" term="%22Greedy+algorithms%22">Greedy algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Cross+correlation%22">Cross correlation</searchLink>
– Name: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/rs17050856
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        Text: English
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        PageCount: 22
        StartPage: 856
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        Type: general
      – SubjectFull: Orthogonal codes
        Type: general
      – SubjectFull: Greedy algorithms
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      – SubjectFull: MIMO systems
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      – SubjectFull: Cross correlation
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      – TitleFull: Optimization of Orthogonal Waveform Using Memetic Algorithm with Iterative Greedy Code Search.
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            NameFull: Wang, Wanbin
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              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
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