Bridging the gap between civilian and military passive radar

Olsen, Karl Erik; Åsen, Walther

doi:10.1109/maes.2017.160030

Cited by 21 publications

(12 citation statements)

References 60 publications

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“…Radar achieves the positioning and detection of an object by directionally launching electromagnetic energy, receiving the reflected electric wave of the object, and calculating the direction, speed and shape of the object, which has been widely used in military [1], remote sensing [2], aviation [3], navigation and other fields. With the development of shipping, ship radar has gradually gained popularity [4].…”

Section: Introductionmentioning

confidence: 99%

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Marquez-Figueroa

Shmaliy

Ibarra-Manzano

2020

Wseas Transactions on Signal Processing

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The effect of ship navigation radar signal processing has a great impact on the overall performance of the radar system. In this paper, the signal processing algorithm is studied. Firstly, the principle of radar azimuth and distance monitoring is introduced, then the pulse accumulation algorithm and median filtering algorithm are analyzed, and finally a sea clutter suppression algorithm based on sensitivity time control (STC) and a rain and snow clutter suppression algorithm based on constant false alarm rate are designed in order to improve the target monitoring performance of radar. In the test of the algorithm, the radar signal processing algorithm designed in this paper has good precision as monitoring error of the target's azimuth and distance is controlled within 1%; and it also has a better suppression effect of sea clutter and rain and snow clutter, which can suppress the clutter well, improve the target clarity, and ensure the safe navigation of the ship. The experiment proves the effectiveness of the proposed algorithm and provides some theoretical basis for the better processing of radar signals, which is beneficial to improve the environment perception ability of ships in harsh environments and promote the further development of the navigation industry.

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Section: Introductionmentioning

confidence: 99%

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Marquez-Figueroa

Shmaliy

Ibarra-Manzano

2020

Wseas Transactions on Signal Processing

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show abstract

“…Passive radar technology, which allows operators to detect and localize potential targets using already existing transmitters such as commercial frequency modulation (FM) broadcast/digital audio broadcast (DAB)/terrestrial digital video broadcast (DVB-T) [1,2] and non-cooperative radar transmission [3,4], has been interesting to both civilian and military fields in the last few decades [5]. This sort of radar, compared to active radar technology, offers numerous advantages including lower cost, lower power usage and more covert surveillance capability, which suggests the possibility of employing passive radars on a wide range of concerned applications such as homeland security, costal surveillance and early warning system for vehicles detection, etc.…”

Section: Introductionmentioning

confidence: 99%

Refining Inaccurate Transmitter and Receiver Positions Using Calibration Targets for Target Localization in Multi-Static Passive Radar

Zhao

Liu

et al. 2019

Sensors

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Transmitter and receiver position errors have been known to significantly deteriorate target localization accuracy in a multi-static passive radar (MPR) system. This paper explores the use of calibration targets, whose positions are known to the MPR system, to counter the loss in target localization accuracy arising from transmitter/receiver position errors. This paper firstly evaluates the Cramér–Rao lower bound (CRLB) for bistatic range (BR)-based target localization with calibration targets, which analytically indicates the potential of calibration targets in enhancing localization accuracy. After that, this paper proposes a novel closed-form solution, which includes two steps: calibration step and localization step. Firstly, the calibration step is devoted to refine the inaccurate transmitter and receiver locations using the BR measurements from the calibration targets, and then in the calibration step, the target localization can be accurately achieved by using the refined transmitter/receiver positions and the BR measurements from the unknown target. Theoretical analysis and simulation results indicate that the proposed method can attain the CRLB at moderate measurement noise level, and exhibits the superiority of localization accuracy over existing algorithms.

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“…The last decade has seen an increase in the interest for multistatic passive radar (MPR) employing third‐party transmitters in the environment as illuminators of opportunity to detect and track targets [1]. Compared to the conventional active radar system which comprises a collocated transmitter and receiver, MPR system has advantages of covertness, low cost, potential capabilities against stealth aircraft etc., since there is no dedicated transmitter in MPR system [2].…”

Section: Introductionmentioning

confidence: 99%

Target localisation from bistatic range measurements in multistatic passive radar using MDS

Zhao¹,

Liu²,

Hu³

et al. 2019

J. eng.

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Bridging the gap between civilian and military passive radar

Cited by 21 publications

References 60 publications

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Removing Artifacts from EMG Envelope for Improving Myoelectric Robot Arm Control

Refining Inaccurate Transmitter and Receiver Positions Using Calibration Targets for Target Localization in Multi-Static Passive Radar

Target localisation from bistatic range measurements in multistatic passive radar using MDS

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