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Adaptive Measurement and Parameter Estimation for Low-SNR PRBC-PAM Signal Based on Adjusting Zero Value and Chaotic State Ratio

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Publicado en:Mathematics vol. 12, no. 20 (2024), p. 3203
Autor principal: Lv, Minghui
Otros Autores: Yan, Xiaopeng, Wang, Ke, Xinhong Hao, Dai, Jian
Publicado:
MDPI AG
Materias:
Parameter identification
Accuracy
Waveforms
Low altitude
Parameter estimation
Fourier transforms
Signal to noise ratio
Duffing oscillators
Binary codes
Signal detection
Chaos theory
Sensors
Parameter modification
Damage detection
Bit error rate
Methods
Codes
Pseudorandom sequences
Carrier frequencies
Pulse amplitude modulation
Emitters
Acceso en línea:Citation/Abstract
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Resumen:Accurately estimating the modulation parameters of pseudorandom binary code–pulse amplitude modulation (PRBC–PAM) signals damaged by strong noise poses a significant challenge in emitter identification and countermeasure. Traditionally, weak signal detection methods based on chaos theory can handle situations with low signal-to-noise ratio, but most of them are developed for simple sin/cos waveform and cannot face PRBC–PAM signals commonly used in ultra-low altitude performance equipment. To address the issue, this article proposes a novel adaptive detection and estimation method utilizing the in-depth analysis of the Duffing oscillator’s behaviour and output characteristics. Firstly, the short-time Fourier transform (STFT) is used for chaotic state identification and ternary processing. Then, two novel approaches are proposed, including the adjusting zero value (AZV) method and the chaotic state ratio (CSR) method. The proposed weak signal detection system exhibits unique capability to adaptively modify its internal periodic driving force frequency, thus altering the difference frequency to estimate the signal parameters effectively. Furthermore, the accuracy of the proposed method is substantiated in carrier frequency estimation under varying SNR conditions through extensive experiments, demonstrating that the method maintains high precision in carrier frequency estimation and a low bit error rate in both the pseudorandom sequence and carrier frequency, even at an SNR of −30 dB.
ISSN:2227-7390
DOI:10.3390/math12203203
Fuente:Engineering Database