Combined algorithm for interference suppression and signal acquisition in GNSS receivers

Chen, Feiqiang; Nie, Junwei; Ni, Shaojie; Li, Zhengrong; Wang, Feixue

doi:10.1049/el.2016.4297

Cited by 15 publications

(8 citation statements)

References 6 publications

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“…In addition, its performance is significantly better than the power reversal method. However, this research method has little meaning for radar detection effect [ 5 ]. Yang and Huang studied the interference suppression phenomenon of the integrated coil inductor topology.…”

Section: Introductionmentioning

confidence: 99%

Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm

Lei

Zou²,

et al. 2022

Computational Intelligence and Neuroscience

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With the rapid development of science and technology, testing equipment and testing methods are constantly updated. Radar detectors have the advantages of losslessness, high efficiency, high resolution, and high-speed radar image capture. They can accurately locate defects in railway tunnels, respond to hidden dangers in time, and provide strong technical support for transportation. This paper proposes to optimize the defect detection of railway tunnel radar through the combination of multisensor technology and active interference suppression algorithm and designs the corresponding sensor system according to the content. This article analyzes several factors that affect the radar detection effect and makes a detailed summary from the detection environment and other aspects. At the same time, it uses the multisensor system combined with active interference suppression algorithm to design a railway tunnel detection simulation experiment. Experimental results show that the use of multisensors combined with active interference suppression algorithm to optimize radar detection can effectively improve the accuracy of railway tunnel defect detection. Through the analysis of the results of tunnel defect detection, the detection accuracy of this paper has reached 98.8%, which can provide an effective reference for the detection of railway tunnels.

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Section: Introductionmentioning

confidence: 99%

Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm

Lei

Zou²,

et al. 2022

Computational Intelligence and Neuroscience

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“…In the papers [ 25 – 29 ], many methods for interference suppression and signal acquisition in the communication systems are introduced and analyzed, and the cognitive radio and MIMO in UAV communication data link will be the effectiveness method and the trend in the near future.…”

Section: Related Work Discussion and Analysismentioning

confidence: 99%

Multidomain Narrowband Interference Intelligent Suppression Method Based on Cognitive Radio and MIMO in UAV Data Link

Luo

You

Lv³

et al. 2022

Computational Intelligence and Neuroscience

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In this paper, a kind of antinarrowband interference intelligent method based on cognitive MIMO (multiple-input multiple-output) airspace, time domain, frequency domain, and code domain is proposed. This method combines perceptual technology, spread spectrum code, MIMO space-time coding, and so on. Through coordinating space, time, frequency, and code element diversity, the narrowband interference in the UAV (unmanned aerial vehicle) monitoring and control link is effectively countered. The input and output model of MIMO monitoring and control link of UAV with natural interference are described. Then, the realization principle of the multidomain antinarrowband interference method based on CR-MIMO is presented, and the corresponding models of receiving and transmitting are also given. Finally, the anti-interference performance of the proposed method is analyzed theoretically and validated through simulation experiments, and the effectiveness of the proposed method is verified.

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“…In order to compare the measurement biases of the proposed algorithm and verify the analysis in the previous section, we have developed a testbed which can simulate multi-antenna signals including satellite signal and interference under some specific conditions and has also been used in Ref. [18,25]. The signal was received by a multi-antenna GNSS software receiver to obtain the biases of measurement after weighting the multiantenna data.…”

Section: Data Scenario Descriptionmentioning

confidence: 99%

A new blind anti‐jamming algorithm based on a novel antenna array design

Yang

Wang

Liu

et al. 2022

IET Radar Sonar & Navi

Self Cite

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The next-generation navigation tools are developed to enable precision and reliability. Military users are more likely to encounter jamming, so it is necessary to seek the technologies which can steadily provide high-precision positioning services in all-weather and harsh conditions. However, when users use an array antenna for interference suppression, it usually introduces pseudorange and carrier phase biases, which deteriorates the accuracy and integrity of positioning. To address this issue, the authors propose a blind anti-interference algorithm with biases suppression. Compared to the commonly used blind space-time adaptive anti-jamming algorithms, this algorithm can not only retain the advantages of the simple structure of the blind anti-jamming algorithm but also suppress pseudorange biases and carrier phase biases, both of which are crucial for users to obtain the availability of positioning. Moreover, the algorithm proposed can be applied easily and quickly to the actual high-precision positioning system with minor hardware changes in some cases. The relevant theoretical analysis and experiments have proved the effectiveness of the proposed algorithm: (1) code phase biases and carrier phase biases can almost be ignored and (2) it also can significantly improve the accuracy and integrity of positioning; the average positioning error is 1.6 mm, and it can keep the positioning accuracy better than 0.1 m for 97.5% of the time.

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Combined algorithm for interference suppression and signal acquisition in GNSS receivers

Cited by 15 publications

References 6 publications

Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm

Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm

Multidomain Narrowband Interference Intelligent Suppression Method Based on Cognitive Radio and MIMO in UAV Data Link

A new blind anti‐jamming algorithm based on a novel antenna array design

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