Batch tracking algorithm for multistatic sonars

Ehlers, Frank; Orlando, Danilo; Ricci, Giuseppe

doi:10.1049/iet-rsn.2011.0266

Cited by 48 publications

(22 citation statements)

References 17 publications

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“…The amplitude of the echoes' amplitude-frequency characteristics curve is associated with the amplitude of geometric highlight. The undulate of the echoes' amplitude-frequency characteristics curve envelop is associated with the timedelay of geometric highlight [12]. So the amplitude-frequency envelop-curves showed by Figures 11 and 12 represent the features of geometric highlight.…”

Section: Simulation and Analysismentioning

confidence: 94%

“…and are wavelet decompose filter. The elastic features are contained in the approximate waveletcoefficients of layer 4, while geometric features are filtered in each detail wavelet-coefficient [11,12]. the same plane with transmitters and receiver and has a 100-meter distance with source A while having a 65-meter distance with transmitter B.…”

Section: Features Extractionmentioning

confidence: 99%

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A Novel Receiving and Extraction Method for Echoes of Multistatic Sonar

Zhang

2014

Mathematical Problems in Engineering

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Multiple carrier frequency detecting signals are transmitted simultaneously by multiple transmitters in multistatic sonar. The echoes mixed with different carrier frequency in the receiver. The different carrier frequency echoes must be separated from one another before features of echoes are extracted in the receiver. Such a problem can be solved by band-pass and low-pass filters. But the amount of operation by this way is too large for real-time realization. Thus this paper presents the technique of channelized receiver based on multiphase filter and the receiving schemes of echo. The proposed receiver has a smaller amount of operation compared to low-pass filter. At last, the feature extraction technology correlation processing and FDWT are introduced. In order to verify the feasibility of this scheme in multistatic sonar, the extracted features of original echo are contrasted with those of processed echo via simulation. Simulation results show that the proposed receiver provides considerable performance.

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Section: Simulation and Analysismentioning

confidence: 94%

Section: Features Extractionmentioning

confidence: 99%

A Novel Receiving and Extraction Method for Echoes of Multistatic Sonar

Zhang

2014

Mathematical Problems in Engineering

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“…The focus was mainly on applying CS to monostatic radar systems [11][12][13] or co-located receivers, which act as a phase array antenna [21,22]. Recent studies also consider CS methods applied to distributed radar [23][24][25][26][27][28][29]. This paper applies the CS technique to fuse information from a distributed sensor network, consisting of M·N transmit-receive pairs, and estimating the target state vector with high accuracy.…”

Section: Parameter Estimation Via Compressive Sensing Techniquementioning

confidence: 99%

Passive wireless local area network radar network using compressive sensing technique

Weiß

2015

IET Radar, Sonar & Navigation

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Distributed networks constructed from heterogeneous or homogeneous sensors, which are also called multiple-input-multiple-output systems, offer several advantages compared to single sensor systems. In particular for a distributed homogeneous sensor network targets are illuminated from various aspect angles and reflections are received at different locations simultaneously. Hence, these networks outperform single-input-single-output systems easily by several aspects. This spatial diversity improves target detection and parameter estimation dramatically. Therefore these radar networks attract more and more scientists worldwide. This study shows the potential of compressive sensing technique applied to a distributed homogeneous sensor network comprised of several wireless local area network routers as transmitters and dedicated receivers. The CS group sparsity approach is employed to reduce the required data rate, which has to be transferred to a central processing unit for data fusion, without decreasing the performance of the sensor network

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“…In recent years, there has been a lively interest in target location using multistatic sonars [1][2][3][4][5][6][7][8][9][10][11][12][13]. In a multistatic sonar system, the sum of each pair of transmitter-target range and target-receiver range defines an ellipse.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Non-Iterative Estimator for Target Location in Multistatic Sonar Systems with Sensor Position Uncertainties

Wang

Yang

et al. 2020

Mathematics

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Target location is the basic application of a multistatic sonar system. Determining the position/velocity vector of a target from the related sonar observations is a nonlinear estimation problem. The presence of possible sensor position uncertainties turns this problem into a more challenging hybrid parameter estimation problem. Conventional gradient-based iterative estimators suffer from the problems of initialization difficulties and local convergence. Even if there is no problem with initialization and convergence, a large computational cost is required in most cases. In view of these drawbacks, we develop a computationally efficient non-iterative position/velocity estimator. The main numerical computation involved is the weighted least squares optimization, which makes the estimator computationally efficient. Parameter transformation, model linearization and two-stage processing are exploited to prevent the estimator from iterative computation. Through performance analysis and experimental verification, we find that the proposed estimator reaches the hybrid Cramér–Rao bound and has linear computational complexity.

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Batch tracking algorithm for multistatic sonars

Cited by 48 publications

References 17 publications

A Novel Receiving and Extraction Method for Echoes of Multistatic Sonar

A Novel Receiving and Extraction Method for Echoes of Multistatic Sonar

Passive wireless local area network radar network using compressive sensing technique

Design and Analysis of a Non-Iterative Estimator for Target Location in Multistatic Sonar Systems with Sensor Position Uncertainties

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