Joint range–velocity deception jamming suppression for SIMO radar

Huang, Datong; Cui, Guolong; Yu, Xianxiang; Ge, Mengmeng; Kong, Lingjiang

doi:10.1049/iet-rsn.2018.5158

Cited by 27 publications

(22 citation statements)

References 29 publications

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“…In addition, the optimal initial phases are designed in a multi-target scenario in [14]. The problem of resisting JRVDJ based on a single-input multiple-output (SIMO) radar system is discussed in [15]. The jamming and the true target are distinguished according to the Doppler diversity and spatial geometric correlation.…”

Section: Introductionmentioning

confidence: 99%

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR

Wang

Zhang

Wang

et al. 2020

Sensors

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In this paper, a type of effective electronic counter-countermeasures (ECCM) technique for suppressing the high-power deception jamming using an orthogonal frequency division multiplexing (OFDM) radar is proposed. Concerning the velocity deception jamming, the initial phases of the pulses transmitted in a coherent processing interval (CPI) are designed to minimize the jamming power within a specific range, forming a notch around the jamming in the Doppler spectrum. For the purpose of suppressing the range deception jamming and the joint range-velocity deception jamming, the phase codes of the subcarriers belonging to the OFDM pulses are optimized to minimize the jamming power, distributing some specific bands in the range and the range-velocity domain, respectively. According to Parseval's theorem, the phase encoding, acting as the coding manner of the OFDM subcarriers can ensure that the energy of each OFDM symbol stays the same. It is worth noticing that the phase codes of the OFDM subcarriers can influence the peak-to-average power ratio (PAPR). Thus, an optimization problem is formulated to optimize the phase codes of the subcarriers under the constraint of global PAPR, which can regulate the PAPRs of multiple OFDM symbols at the same time. The proposed problem is non-convex; therefore, it is a huge challenge to tackle. Then we present a method named by the phase-only alternating direction method multipliers (POADMM) to solve the aforementioned optimization problem. Some necessary simulation results are provided to demonstrate the effectiveness of the proposed radar signaling strategy 4 of 26 norm. In addition, arg{x} denotes the phase vector of x.|·|, {·} and {·} are the magnitude, real part, and image part of a complex-valued input. The operators ⊕ and ⊗ are the Hadamard operator and Kronecker product operator, respectively. Let I, 1, and 0 denote the identity matrix, matrix of 1 and zero matrix (their size is determined from the context). The operators, Diag(·) and diag(·), are, respectively, the diagonal matrices formed by the entries of the vector argument and the column vector containing the principal diagonal of the matrix argument. denotes the gradient operator and vec(·) represents the vectorization of an input matrix.

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Section: Introductionmentioning

confidence: 99%

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR

Wang

Zhang

Wang

et al. 2020

Sensors

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“…The most popular methods for impact evaluation of jamming on PD radar usually fall under the category of applications, such as moving target indication (MTI), moving target detection (MTD), constant false‐alarm rate (CFAR) detection, target track correlation, and so on [3, 10–12]. That is to say, the variations of the indices in these applications usually reflect the impact degree of jamming.…”

Section: Introductionmentioning

confidence: 99%

“…Identification results, i.e. the localisation and velocity estimation, are also explored to measure the effectiveness of the joint range‐velocity deception jamming on the radar [11]. For more examples, readers can refer to [3, 12].…”

Section: Introductionmentioning

confidence: 99%

Evaluation method for impact of jamming on radar based on expert knowledge and data mining

Wang

Liu

2020

IET Radar, Sonar & Navigation

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“…This chain refers to lots of processing steps, e.g., digital/analog filtering, intermediate frequency and down-converting (IFD-C), matched filtering, moving target identification (MTI), etc. [10], [11], and the applications include target detection, tracking, recognition and so on [12], [13]. For these reasons, to our best knowledge, there is no efficient and unified evaluation framework to explore the general rules on effect of jamming on radar.…”

Section: Introductionmentioning

confidence: 99%

“…They, however, rely on numerous simulations or experiments with various parameters or conditions [10], and thus have high cost of time, computation and software/hardware. We refer to [7], [8], [11] for more details. Even if their pertinences to specific systems or applications have been enhanced greatly, there are few opportunities to extend or transfer their achievements to other cases.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Effect of Blanket Jamming on Radar Via Robust Time-Frequency Analysis and Peak to Average Power Ratio

Wang

Liu

2020

IEEE Access

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Evaluating the effect of blanket jamming is at the core of performance analysis and jamming/anti-jamming design for radar. Restricted to diverse jamming types and radar's applications, it is challenging to put forward a unified framework for quantitative evaluation. To address this issue, we come up with a composite evaluation by combining the robust time-frequency analysis (RTFA) and peak to average power ratio (PAPR). In term of signal-level evaluation, RTFA is exploited to analyze the echoes directly, providing the time-frequency (TF) spectrum for calculating two-dimensional image entropy. For system/application-level evaluation, we derive the variation of signal to jamming ratio (SJR) in radar processing chain, and thus define the PAPR to associate SJR with target detection, a type of common and fundamental application that usually affects the other subsequent ones. To refine composite evaluation, we modify the traditional RTFA by leveraging joint sparse model with convolution framelets to improve TF concentration and to avoid the crossing terms; meanwhile, we derive the quantitative relationship between SJR and detection probability, leading to theoretical guarantee of PAPR for evaluation. Finally, the feasibility and the superiority of the proposed evaluation approach are validated in numerical experiments.

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Joint range–velocity deception jamming suppression for SIMO radar

Cited by 27 publications

References 29 publications

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR

ECCM Schemes against Deception Jamming Using OFDM Radar with Low Global PAPR

Evaluation method for impact of jamming on radar based on expert knowledge and data mining

Evaluating Effect of Blanket Jamming on Radar Via Robust Time-Frequency Analysis and Peak to Average Power Ratio

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