Anti-Sweep Jamming Design and Implementation Using Multi-Channel Harmonic Timing Sequence Detection for Short-Range FMCW Proximity Sensors

Kong, Zhi Hui; Li, Ping; Yan, Xiaopeng; Hao, Xinhong

doi:10.3390/s17092042

Cited by 11 publications

(3 citation statements)

References 20 publications

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“…Furthermore, the bandwidth is set 50 MHz to get a high range resolution of approximately ±1.5 m. The target is assumed to be an approaching aircraft with a velocity of 500 m/s. The parameters of sweep jamming are based on [1], [5]- [7] and some ECM simulation tests we performed.…”

Section: Simulations and Discussionmentioning

confidence: 99%

Anti-Sweep-Jamming Method Based on the Averaging of Range Side Lobes for Hybrid Modulation Proximity Detectors

et al. 2020

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Hybrid modulation continuous waveform (HMCW) proximity detectors emit binary phasecoded chirp (BPCC) waveforms. Therefore, they possess the advantages of binary phase-coded modulation and chirp modulation simultaneously. To enhance the anti-sweep-jamming performance of HMCW detectors, this paper analyses the response of an HMCW detector under sweep jamming and proposes an anti-jamming method based on the novel average range side lobe (ARS) approach. Similar to the instant correlation with harmonic demodulation (ICHD) method, the ARS method also combines time-domain instantaneous correlation with frequency-domain harmonic demodulation to obtain the range information of the target. The difference is that the ARS method uses a fast Fourier transform (FFT) instead of a band pass filter (BPF) to extract the harmonic envelope and averages multiple harmonic coefficients obtained via the FFT. Because the correlation side lobes of chaotic codes follow a Gaussian distribution, the output of an HMCW detector under sweep jamming is suppressed after ARS processing. The proposed method is proven to be feasible and effective through numerical simulations. The results show that the ARS method offers improved anti-sweep-jamming performance. INDEX TERMS Electronic warfare, HMCW detectors, electronic counter-countermeasures (ECCM), antisweep jamming. I. INTRODUCTION Continuous waveform (CW) detectors maintain high signalto-noise ratios while requiring much less peak power than corresponding pulse sensor systems [1]. They are widely used in vehicle collision warning systems [2], radar altimeters [3], [4] and other related applications. However, their performance is seriously affected by interference and jamming [5]. In particular, sweep jamming [6]-[8], in which a narrowband jamming signal is rapidly sweeping over a wide frequency band, has a significant effect on CW detectors. Electronic countermeasure (ECM) simulation tests have verified that sweep jamming has become a serious threat to CW detectors [9]. Thus, suitable attention should be paid to the anti-sweep-jamming performance of CW detectors. The associate editor coordinating the review of this manuscript and approving it for publication was Filbert Juwono. CW detectors can be classified into many types depending on their modulation modes, which include linear frequency modulation (LFM), binary phase shift keying (BPSK) modulation, and hybrid modulation (HM) [10]. With its large bandwidth and high range resolution, LFM is one of the most popular modulation modes. However, LFM detectors can be easily intercepted and jammed [1], [11]. Because of their low probability of interception, the anti-jamming performance of BPSK detectors is better than that of LFM detectors. However, BPSK detectors tend to exhibit high sensitivity to Doppler shifts, which limits their application for highspeed moving targets [12], [13]. As a combination of LFM and BPSK modulation, HM possesses the advantages of both modulation modes [11], [14], [15]. HM was first used in communication systems to overco...

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Section: Simulations and Discussionmentioning

confidence: 99%

Anti-Sweep-Jamming Method Based on the Averaging of Range Side Lobes for Hybrid Modulation Proximity Detectors

et al. 2020

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“…This is known as the beat frequency and is comprised of frequency differences due to target range and Doppler. Jamming waveforms require characteristics chosen such that they can appear within the radar receiver bandwidth in order to be effective [8].…”

Section: Jamming Signal Theory a Matched Filteringmentioning

confidence: 99%

Human Micro-Doppler Signature Classification in the Presence of a Selection of Jamming Signals

Dhulashia

Ritchie

Vishwakarma

et al. 2021

2021 IEEE Radar Conference (RadarConf21)

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This work investigates the degradation effects of four distinct jamming signal styles on human micro-Doppler signatures by examining the ability of a linear discriminant classifier to accurately distinguish signatures collected using a simulated frequency modulated continuous wave (FMCW) radar which have been injected with jamming. Misclassification dependence on jamming signal power for each jamming style is presented along with the nature of misclassifications.

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“…Evaluation methods for the anti-jamming performance of SAR have also been studied [ 20 , 21 ]. Taking full advantage of multichannel approaches, several researchers have proposed multichannel SAR methods [ 14 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ], but they are usually limited to specific jamming types. To deal with this problem, Ma [ 30 ] proposed a general method, dual-channel cancellation, which is effective regardless of the jamming type when dealing with an active jammer.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Interferometric Phase Estimation in Dual-Channel Cancellation

Huang

Liu

Huang

et al. 2022

Sensors

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Multichannel SAR systems have grown rapidly over the past decade due to their powerful high-resolution and wide-swath (HRWS) capabilities. Because spatially separated channels also have the potential to suppress jamming, dual-channel cancellation is a general method that is effective regardless of the type of jamming signal. In this paper, the principle of dual-channel cancellation (DCC) is introduced, and several practical problems using DCC are also discussed. Moreover, this paper emphasizes interferometric phase estimation, which is the key to DCC. If the jamming-to-signal ratio (JSR) is high, the interferometric phase can be estimated accurately from the interferometry of two channel signals, but estimation becomes rather difficult when the JSR decreases. To solve the problem of interferometric phase estimation under a low JSR, a novel interferometric phase estimation method using cosine similarity is proposed in this paper. L-band airborne dual-channel SAR is performed to investigate the applicability of the method. The results not only prove that cosine similarity is an effective method for interferometric phase estimation, but also demonstrate the potential of DCC in the SAR anti-jamming processing.

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Anti-Sweep Jamming Design and Implementation Using Multi-Channel Harmonic Timing Sequence Detection for Short-Range FMCW Proximity Sensors

Cited by 11 publications

References 20 publications

Anti-Sweep-Jamming Method Based on the Averaging of Range Side Lobes for Hybrid Modulation Proximity Detectors

Anti-Sweep-Jamming Method Based on the Averaging of Range Side Lobes for Hybrid Modulation Proximity Detectors

Human Micro-Doppler Signature Classification in the Presence of a Selection of Jamming Signals

A Novel Method for Interferometric Phase Estimation in Dual-Channel Cancellation

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