A novel time-frequency atomic dictionary for radar intra-pulse modulation signal sparse representation

Zhou, Yipeng; Wang, Xing; Tian, Yanling; Zhou, Dongqing

doi:10.1109/apmc.2015.7411680

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Solutions minimizing C L and C NL are obtained in closed form as shown in Eq. (18). For LFM signal, C L C NL .…”

Section: 10amentioning

confidence: 99%

“…Solutions are obtained by solving for unknowns as shown in Eq. (18). The model with minimum cost function magnitude is chosen as the likely solution.…”

Section: 10b Quadratic (Concave/convex) Fm Classificationmentioning

confidence: 99%

“…Analytical aspects of range-azimuth FMCW radar sensor using joint angle and delay estimation discussed in [17] gives a fine insight into FMCW radar signals. Sparse representation of intra-pulse modulated signals is presented in [18], with demonstrated performance for linear and non-linear frequency modulation (FM) using atomic dictionary. In [19], implementation of Wigner-Hough transform based detectors for LFMCW signals is discussed, along with a comparison of various detector configurations.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

2017

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In this paper, we investigate the problem of analysis of low probability of interception (LPI) radar signals with intra-pulse frequency modulation (FM) under low signal-to-noise ratio conditions from the perspective of an airborne electronic warfare (EW) digital receiver. EW receivers are designed to intercept and analyse threat radar signals of different classes, received over large dynamic range and operating independently over large geographical spread to advice host aircraft to undertake specified actions. For an EW receiver, primary challenges in interception and analysis of LPI radar signals are low received power, intra-pulse modulations, multi-octave frequency range, wide signal bandwidth, long pulse width, vast and multi-parametric search space, etc. In the present work, a method based on match filterbank localization and Taylor's series approximation for analysing the entire family of intra-pulse FM radar signals is proposed. The method involves progressive, joint time-frequency (TF) localization of the signal of interest (SOI), under piecewise linearity and continuity assumptions on instantaneous frequency, to effectively capture local TF signatures. Detection is by information-theoretic criterion based hypotheses testing, while estimation and classification are based on polynomial approximation. Fine signal analysis is followed by synthetic reconstruction of the received signal slope. Detection, estimation and classification performances for the prominent FM radar signal classes are quantified based on simulation study statistics. Stagewise implementation of analysis and FM slope reconstruction, in realistic radar threat scenarios, is demonstrated for the potential SOIs. Subject discussion is organized from the perspective of practical EW system design and presented within the realm of signal processing architecture of concurrent EW digital receivers.

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“…Solutions minimizing C L and C NL are obtained in closed form as shown in Eq. (18). For LFM signal, C L C NL .…”

Section: 10amentioning

confidence: 99%

“…Solutions are obtained by solving for unknowns as shown in Eq. (18). The model with minimum cost function magnitude is chosen as the likely solution.…”

Section: 10b Quadratic (Concave/convex) Fm Classificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

2017

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A Smart Noise Jamming Suppression Method Based on Atomic Dictionary Parameter Optimization Decomposition

Liu

Zhang

2022

Remote Sensing

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Smart noise jamming is a new jamming style against radar, which plays an important role in modern radar electronic warfare. In order to solve the complex problem of convolutional smart noise jamming suppression with different time delay and jamming frequency modulation, a novel jamming suppression method based on the optimized atomic dictionary decomposition by estimating significant jamming parameters is proposed in this paper. First, the dual channel jamming signal information is obtained by designing twinning waveforms, then the independent estimation of time delay and jamming frequency parameters are established based on the spatial position sequences of the false targets. After that, the atomic dictionary is optimized by utilizing the obtained jamming parameters to achieve more effective decomposition. The performance of the new jamming suppression method is analyzed and verified by experimental simulations. The results show that this method can feasibly and practicably suppress the smart noise jamming with a deceptive effect, and the atomic decomposition efficiency is highly improved.

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A novel time-frequency atomic dictionary for radar intra-pulse modulation signal sparse representation

Cited by 2 publications

References 7 publications

Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

Analysis of intra-pulse frequency-modulated, low probability of interception, radar signals

A Smart Noise Jamming Suppression Method Based on Atomic Dictionary Parameter Optimization Decomposition

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