Low-intercept Waveform Sequence Design Based on Iterative Quadratic Optimization Algorithm

LIU Qiang; ZHANG Min; GUO FuCheng; YIN JiaPeng; HU WeiDong

doi:10.11999/JEIT231333

Volume 46 Issue 5

May 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(5): 2048-2056

LIU Qiang, ZHANG Min, GUO FuCheng, YIN JiaPeng, HU WeiDong. Low-intercept Waveform Sequence Design Based on Iterative Quadratic Optimization Algorithm[J]. Journal of Electronics & Information Technology, 2024, 46(5): 2048-2056. doi: 10.11999/JEIT231333

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LIU Qiang, ZHANG Min, GUO FuCheng, YIN JiaPeng, HU WeiDong. Low-intercept Waveform Sequence Design Based on Iterative Quadratic Optimization Algorithm[J]. Journal of Electronics & Information Technology, 2024, 46(5): 2048-2056. doi: 10.11999/JEIT231333

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Low-intercept Waveform Sequence Design Based on Iterative Quadratic Optimization Algorithm

doi: 10.11999/JEIT231333

College of Electronic Science, National University of Defense Technology, Changsha 410073, China

Received Date: 2023-12-04
Rev Recd Date: 2024-02-07

Available Online: 2024-03-08

Publish Date: 2024-05-30

Abstract

Abstract

In modern radar technology, a key research area is the design of special waveforms to prevent non-cooperative electronic reconnaissance systems from intercepting and detecting radar signals. This paper focuses on reducing the power interception probability of electronic reconnaissance systems while maintaining the radiation energy. Specifically, waveform design techniques are explored for passive countermeasures, considering the time-frequency distribution of energy and the characteristics of Short-Time Fourier Transform (STFT) wideband digital reconnaissance receivers. To address this, a low-intercept model for STFT wideband digital reconnaissance receiver is established, and then the low-intercept problem is converted into a constant envelope sequence iterative optimization problem using a quadratic optimization model. To improve autocorrelation performance, an auxiliary scalar is employed to transform the optimization model into a quadratic form and a sequence of low-interception waveforms are generated through an iterative algorithm. Furthermore, the computational complexity of our proposed method is discussed. The simulation results, demonstrate that our sequence exhibits superior low-interception capability compared to commonly used phase-coded signals at the same receive SNR. Additionally, Pareto weights are introduced to control the autocorrelation characteristics of the proposed sequence, thereby enhancing the design flexibility.
- Low intercept radar,
- Waveform design,
- Iterative quadratic optimization

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References(52)

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