Research on SAR Anti-jamming Technique Based on Orthogonal LFM-PC Signals with Adaptive Initial Phase

Qiu, Xiaoyan; Wang, Pengfei; Jiang, Jie; Li, Xinyu; Tang, Zhenhua; Wang, Shuwen

doi:10.23919/ciss51089.2021.9652198

Cited by 4 publications

(7 citation statements)

References 5 publications

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“…The anti-active deception jamming performance of the C-NLFM signal is validated by comparing it with the LFM signal, RNLFM signal [36], and LFM-PC signal [18]. In this simulation, the transmitted signal's range oversampling factor is set to 1.15 with a bandwidth of 1 GHz.…”

Section: On the Suppression Performance Of The Deception Jammingmentioning

confidence: 99%

“…Additionally, the suppression results of other signals are also marked by the corresponding red dotted box. Signals JSR (𝐝𝐁) LFM 0 RNLFM [36] − 21.08 LFM-PC [18] − 24.22 C-NLFM − 29.64…”

Section: On the Suppression Performance Of The Deception Jammingmentioning

confidence: 99%

“…The SAR chaotic phase modulation (CPM) signals were also demonstrated to have the same result during the same time period [17]. Reference [18] combines chaotic sequences and LFM-PC signals, suggesting LFM phase coding with orthogonality, which yields good performance and allows interference signal suppression to be reduced to −25 dB.…”

Section: Introductionmentioning

confidence: 96%

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A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression

Li,

Wang,

Zhang

et al. 2023

Remote Sensing

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Synthetic aperture radar (SAR) is a high-resolution imaging radar. With the deteriorating electromagnetic environment, SAR systems are susceptible to various forms of electromagnetic interference, including deception jamming. This jamming notably impacts SAR signal processing and subsequently worsens the quality of acquired images. Chaotic frequency modulation (CFM) signals could effectively counteract deception jamming. Nevertheless, due to the inadequate band-limited performance of CFM signals, higher oversampling factors are needed for achieving optimal low sidelobe levels, leading to increased system costs and excessively high data rates. Additionally, not all chaotic sentences meet the CFM signal requirements. In response, this paper proposes a novel signal modulation method called chaotic-nonlinear frequency modulation (C-NLFM) that enhances band-limited performance. The optimum parameters for C-NLFM signals are selected using the particle swarm optimization (PSO) algorithm. In this way, C-NLFM signals attain ideal low sidelobe levels even when faced with reduced oversampling factors. Meanwhile, this chaotic coding mode retains its capability to effectively suppress deception jamming. Moreover, C-NLFM signals demonstrate versatility in adapting to various chaotic sequences, thereby enhancing their flexibility to modify the signals as required. Through comprehensive simulations, data analysis, and a semi-physical experiment, the effectiveness and superiority of this proposed method have been confirmed.

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Section: On the Suppression Performance Of The Deception Jammingmentioning

confidence: 99%

Section: On the Suppression Performance Of The Deception Jammingmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression

Li,

Wang,

Zhang

et al. 2023

Remote Sensing

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“…So the coherence of the jamming signal is destroyed, resulting in jamming suppression. Phase-perturbed LFM is proposed with partial random perturbation on the signal phase distribution [14,15]. The waveform ECCM performance can also be improved by performing random recombination after the LFM segmentation [16].…”

Section: Introductionmentioning

confidence: 99%

Costas DFC-Based Random Stepped Wideband Waveform for Interference Countermeasure in SAR Imagery

Dai

Zhang²,

Huan³

2022

Sensors

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Interference in SAR imagery will induce false targets or form a mask in specific areas to prevent accurate scene assessment. Traditional anti-jamming methods based on waveform agility require a trade-off between anti-jamming performance and imaging quality in waveform design. In this paper, we proposed a SAR ECCM scheme including a Costas DFC-based random stepped wideband waveform and corresponding imaging processing method. The waveform exhibits high flexibility against forwarding interference due to the decomposition of a wideband signal into multiple pulses with different Costas discrete frequency encoding, carrier frequency and phase modulation. Furthermore, the combination of FCDC and the imaging processing successfully overcomes the Doppler sensitivity of the proposed waveform. Extensive simulations confirmed the superiority of this waveform and processing method under different interference strategies.

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“…Several anti-jamming methods have been proposed, such as the RFI suppression method [ 12 ], WBI suppression method [ 13 ], STAP method [ 14 ], spatial location feature recognition method [ 15 ], and other methods [ 16 , 17 , 18 , 19 ]. Evaluation methods for the anti-jamming performance of SAR have also been studied [ 20 , 21 ].…”

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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Research on SAR Anti-jamming Technique Based on Orthogonal LFM-PC Signals with Adaptive Initial Phase

Cited by 4 publications

References 5 publications

A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression

A Novel Chaotic-NLFM Signal under Low Oversampling Factors for Deception Jamming Suppression

Costas DFC-Based Random Stepped Wideband Waveform for Interference Countermeasure in SAR Imagery

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

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