Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory
Target detection is a core function of integrated sensing and communication (ISAC) systems. The traditional likelihood ratio test (LRT) target detection algorithm performs inadequately under low signal-to-noise ratio (SNR) conditions, and the performance of mainstream orthogonal frequency division m...
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| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/2/465 |
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| author | Qilong Miao Xiaofeng Shen Chenfei Xie Yong Gao Lu Chen |
| author_facet | Qilong Miao Xiaofeng Shen Chenfei Xie Yong Gao Lu Chen |
| author_sort | Qilong Miao |
| collection | DOAJ |
| description | Target detection is a core function of integrated sensing and communication (ISAC) systems. The traditional likelihood ratio test (LRT) target detection algorithm performs inadequately under low signal-to-noise ratio (SNR) conditions, and the performance of mainstream orthogonal frequency division multiplexing (OFDM) waveforms declines sharply in high-speed scenarios. To address these issues, an information-theory-based orthogonal time frequency space (OTFS)-ISAC target detection processing framework is proposed. This framework adopts the OTFS waveform as its fundamental signal. The target detection is implemented through a relative entropy test (RET) comparing echo signals against target presence/absence hypotheses. Furthermore, to enhance the system’s target detection capability, the iterative OTFS-ISAC waveform design (I-OTFS-WD) method which maximizes the relative entropy is proposed. This method utilizes the minorization-maximization (MM) algorithm framework and semidefinite relaxation (SDR) technique to transform the non-convex optimization problem into an iterative convex optimization problem for resolution. The simulation results demonstrate that, under sufficient sample conditions, the RET algorithm achieves a 9.12-fold performance improvement over LRT in low-SNR scenarios; additionally, the optimized waveform reduces the sample requirements of the RET algorithm by 40%, further enhancing the target detection capability of the OTFS-ISAC system. |
| format | Article |
| id | doaj-art-8f70ed2dd6df4653b302d3910c8c7c7e |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-8f70ed2dd6df4653b302d3910c8c7c7e2025-01-24T13:49:02ZengMDPI AGSensors1424-82202025-01-0125246510.3390/s25020465Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information TheoryQilong Miao0Xiaofeng Shen1Chenfei Xie2Yong Gao3Lu Chen4School 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, ChinaNational Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, ChinaSchool of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, ChinaTarget detection is a core function of integrated sensing and communication (ISAC) systems. The traditional likelihood ratio test (LRT) target detection algorithm performs inadequately under low signal-to-noise ratio (SNR) conditions, and the performance of mainstream orthogonal frequency division multiplexing (OFDM) waveforms declines sharply in high-speed scenarios. To address these issues, an information-theory-based orthogonal time frequency space (OTFS)-ISAC target detection processing framework is proposed. This framework adopts the OTFS waveform as its fundamental signal. The target detection is implemented through a relative entropy test (RET) comparing echo signals against target presence/absence hypotheses. Furthermore, to enhance the system’s target detection capability, the iterative OTFS-ISAC waveform design (I-OTFS-WD) method which maximizes the relative entropy is proposed. This method utilizes the minorization-maximization (MM) algorithm framework and semidefinite relaxation (SDR) technique to transform the non-convex optimization problem into an iterative convex optimization problem for resolution. The simulation results demonstrate that, under sufficient sample conditions, the RET algorithm achieves a 9.12-fold performance improvement over LRT in low-SNR scenarios; additionally, the optimized waveform reduces the sample requirements of the RET algorithm by 40%, further enhancing the target detection capability of the OTFS-ISAC system.https://www.mdpi.com/1424-8220/25/2/465target detectionintegrated sensing and communicationinformation theoryOTFSwaveform design |
| spellingShingle | Qilong Miao Xiaofeng Shen Chenfei Xie Yong Gao Lu Chen Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory Sensors target detection integrated sensing and communication information theory OTFS waveform design |
| title | Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory |
| title_full | Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory |
| title_fullStr | Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory |
| title_full_unstemmed | Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory |
| title_short | Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory |
| title_sort | integrated sensing and communication target detection framework and waveform design method based on information theory |
| topic | target detection integrated sensing and communication information theory OTFS waveform design |
| url | https://www.mdpi.com/1424-8220/25/2/465 |
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