Co-Frequency Interference Suppression Algorithm via Maximum Signal Minus Interference Level

Kong, Lingjiang; Luo, Ming

doi:10.2528/pier10032307

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Interference rejection is a long-standing issue in radar, sonar, communications, and other fields [1][2][3] since unwanted interferences contaminate echoes, shield useful information, and further cause false information. The forms of interferences are diversified and dynamic, including land and sea clutter, unintentional civil electromagnetic, hostile electronic jamming, etc.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Lu¹,

Cui²,

Yu³

et al. 2018

PIER B

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This paper focuses on the cognitive design of transmit waveform to improve target detection capability in the presence of signal-dependent modulated jamming (e.g., chopping and interleaving (C&I) jamming). In particular, we reasonably assume that the modulation mode of signal-dependent jamming is available based on cognitive paradigm. The first design criterion is to minimize the integrated crosscorrelation energy (ICE) between the transmit waveform and jamming signal. In this way, the received jamming signal can be suppressed after matched filter processing is performed using the optimized waveform. The second design criterion is to minimize the integrated auto-correlation sidelobe level (IASL) for maintaining good range compression property. The practical constant modulus constraint is imposed on the transmit waveform. Finally, to deal with the resulting non-convex problem, an iterative algorithm based on the majorization-minimization framework is developed. Numerical examples for specific signal-dependent modulated jammings are provided to demonstrate the effectiveness of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Lu¹,

Cui²,

Yu³

et al. 2018

PIER B

Self Cite

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“…Array antenna can realize the interference suppression by efficient adaptive beamforming algorithm; however, when the interference is located in the mainlobe, the conventional adaptive beamforming techniques will lead to the sidelobe level rising and mainbeam direction shifting; then the desired signal will be not in the beam pointing direction, and the output signal to interference plus noise ratio (SINR) will decline and the false-alarm probability will rise sharply; meanwhile the mainlobe shifting will affect the accuracy of angle estimation [1][2][3][4][5][6]. When the adaptive beamformer suppresses the mainlobe interference, it must form the null in the interference direction which is inside the mainlobe.…”

Section: Introductionmentioning

confidence: 99%

Improved Mainlobe Interference Suppression Based on Blocking Matrix Preprocess

Yang¹,

Liu

2015

Journal of Electrical and Computer Engineering

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For the problem of mainlobe direction shifting that is caused by the mainlobe interference suppression based on blocking matrix preprocess, an effective method is proposed which is based on the combination of diagonal loading and linear constraints. Therein, the reason for mainlobe direction shifting is analyzed and found to be that the covariance matrix mismatch exists in the realization of the adaptive beamforming. Therefore, the diagonal loading processing is used to overcome the mismatch and correct the mainlobe direction shifting, and the linear constraints are used to make sure of the beam pattern nulling in the interference directions; then the desired performance of adaptive beamforming is obtained. Simulation results attest the correctness and effectiveness of the proposed method, and they also show that the proposed method is insensitive to the selection of diagonal loading level, which means the loading factor is easy to choose.

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“…Electromagnetic compatibility (EMC) is now becoming one of the key abilities guaranteeing avionics systems' normal performances without suffering unacceptable degradation or causing unintentional degradation [1][2][3][4]. Wire connection is an important medium for necessary signal and power transmission.…”

Section: Introductionmentioning

confidence: 99%

Reduced Peec Modeling of Wire-Ground Structures Using a Selective Mesh Approach

Song¹,

Dai²,

Su³

et al. 2012

PIER

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Abstract-The wire-ground electromagnetic coupling structures are quite common in avionics system electromagnetic compatibility (EMC) analysis. The increasing complexities of physical structures make electromagnetic modeling an increasingly tough task, and computational efficiency is desirable. In this paper, a novel selective mesh approach is presented for partial element equivalent circuit (PEEC) modeling where intense coupling parts are meshed while the remaining parts are eliminated. With the proposed approach, the meshed ground plane is dependent on the length and height of the above wires. Relevant compact formulae for determining mesh boundaries are deduced, and a procedure of general mesh generation is also given. A numerical example is presented, and a validation check is accomplished, showing that the approach leads to a significant reduction in unknowns and thus computation time and consumed memories, while preserving the sufficient precision. This approach is especially useful for modeling the electromagnetic coupling of wires and reference ground, and it may also be beneficial for other equivalent circuit modeling techniques.

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Co-Frequency Interference Suppression Algorithm via Maximum Signal Minus Interference Level

Cited by 7 publications

References 15 publications

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Cognitive Radar Waveform Design Against Signal-Dependent Modulated Jamming

Improved Mainlobe Interference Suppression Based on Blocking Matrix Preprocess

Reduced Peec Modeling of Wire-Ground Structures Using a Selective Mesh Approach

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