Compressed sensing-based FH-BPSK signals'digital domain compressive sampling and reconstruction

Zhang, Yidong; Yang, Wenge; Cheng, Yongqiang; Mao, Xinfeng; Shiqiang, Sheng

doi:10.1109/icsp.2016.7877815

Cited by 3 publications

(2 citation statements)

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“…At present, many scholars have studied the mutual interference between vehiclemounted radars. Frequency hopping technology is widely used in the field of military communication because of its good anti-interference performance [8]. In [9] applies game theory to frequencyhopping communication and deduces the necessary and sufficient conditions of Nash equilibrium under linear constraints.…”

Section: Introductionmentioning

confidence: 99%

Research on Anti-Jamming for Vehicle Millimeter Wave Radar Based on Frequency Hopping Technology

2024

jeis

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To address the interference issues among vehicle millimeter wave radars, this chapter proposes an anti-jamming technique that involves frequency hopping of the signal at the transmitter side. By varying the frequency of the radar transmission signal and based on different frequency hopping sequences, it is possible to distinguish between the transmission signal and interference signals, thereby achieving the purpose of interference suppression. This study validates the anti-jamming performance of the proposed solution under different interference conditions through theoretical analysis and simulation. The simulation results indicate that the scheme can effectively suppress interference in scenarios with both single and multiple targets, enhancing the system's stability and reliability.

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Section: Introductionmentioning

confidence: 99%

Research on Anti-Jamming for Vehicle Millimeter Wave Radar Based on Frequency Hopping Technology

2024

jeis

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“…Since the FHSS signals are obviously sparse in the time-frequency domain, using the CS theory for the recovery, estimation and detection of FHSS signals is a hot spot of recent research. In [20], Yidong Zhang focused on studying of the digital domain compressive sampling and reconstruction algorithm of FHSS signals by using the basic principles and methods of compressed sensing. In [21], Binwu Li proposed a novel adaptive synchronous estimation method of hopping frequency for FHSS signals without reconstructing the original signal.…”

Section: Introductionmentioning

confidence: 99%

Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

2018

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It is challenging to detect and track frequency hopping spread spectrum (FHSS) signals due to their wideband frequencies and the limitations of current hardware. In the implementation, there has been a trend of conducting compressive sensing for blind signal processing of FHSS signals. The modulated wideband converter (MWC) is a type of sub-Nyquist sampling system, which accomplishes the recovery of highly accurate broadband sparse signals by multichannel sub-Nyquist sampling sequences. However, it is difficult to adjust MWC to FHSS signals, because the support set and sparsity change with the hop. In this paper, we propose a channelized MWC scheme in order to solve these problems. First, the proposed method distributes the sub-bands to different channels. We can derive and refresh the frequency support set rapidly without recovery. Secondly, by reconstructing the low-pass filter and decimation, we reduced the computational cost to 1/m as the traditional m-channel MWC scheme, where m is the number of channels. Moreover, we propose a series of strategies to estimate carrier frequency. The numerical simulations show that our method can detect the channel, which contains FHSS signals in the case of a low signal-to-noise ratio. Furthermore, the estimation method leads to the successful estimation of the FHSS carrier frequency. This indicates that our method is also effective in the broadband non-cooperative spectrum sensing.

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Sub-Nyquist Sampling and Measurement of MPSK Signal Based on Parameter Matching

Yun

Qiao

2023

IEEE Trans. Instrum. Meas.

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Compressed sensing-based FH-BPSK signals'digital domain compressive sampling and reconstruction

Cited by 3 publications

References 10 publications

Research on Anti-Jamming for Vehicle Millimeter Wave Radar Based on Frequency Hopping Technology

Research on Anti-Jamming for Vehicle Millimeter Wave Radar Based on Frequency Hopping Technology

Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters

Sub-Nyquist Sampling and Measurement of MPSK Signal Based on Parameter Matching

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