Broadband Echoes From Underwater Targets

Lew, H. G.

doi:10.1142/s146587630400237x

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…As it is difficult for a single point source acoustic decoy to cope with the scale recognition of torpedoes, acoustic decoys are currently used for scale simulation by controlling the echo response timing of each array element of multiple suspended acoustic decoys, or mobile acoustic decoy line array with communication capability, to achieve multi-highlight scale target simulation, so that the acoustic decoys have scale characteristics, or make their own scale characteristics increase [12,13].…”

Section: Acoustic Decoy Scale Target Simulationmentioning

confidence: 99%

A Torpedo Target Recognition Method Based on the Correlation between Echo Broadening and Apparent Angle

Wang

et al. 2022

Applied Sciences

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As acoustic decoys can simulate the scale of the target through orderly control of the echo delay, simulated acoustic decoys have scale characteristics similar to those of the scaled target. Consequently, simulated acoustic decoys make it difficult for active acoustic homing torpedoes to recognize acoustic decoys through traditional echo broadening or apparent angle. This will lead to a decrease in the anti-interference capability of torpedoes. In combat, acoustic decoys deceive torpedoes and deviate from the tracking course so that torpedoes cannot find the real target, or waste the range, eventually failing to strike the target and failing in combat. The accurate underwater target scale recognition of active acoustic homing torpedoes is considered a difficult technique. In this paper, we propose a target recognition method based on the correlation between target echo broadening and apparent angle. This specific simulation example shows that conventional target scale recognition methods cannot distinguish between suspended and homing acoustic decoys with virtual scale. By contrast, the target scale recognition method proposed in this paper can accurately distinguish between suspended and homing acoustic decoys with virtual scale at close range, under non-positive transverse port angle conditions. This method improves the anti-interference capability of torpedoes. In addition, it can improve the accuracy of active sonar recognition scale targets of ships, which guide active sonar target recognition.

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Section: Acoustic Decoy Scale Target Simulationmentioning

confidence: 99%

A Torpedo Target Recognition Method Based on the Correlation between Echo Broadening and Apparent Angle

Wang

et al. 2022

Applied Sciences

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“…Additional efforts have borne on active sonar echo signal processing methods [5] [6] and the use of different incident signals [7] [8] . At present, broadband systems [9] [10] are an effective way to improve SNR and detection performance. However, they produce very large amounts of data, bringing heavy burdens to data acquisition, storage, transmission and processing [11] .…”

Section: Introductionmentioning

confidence: 99%

Compressive sensing method to leverage prior information for submerged target echoes

Sun

Blondel

Jia³

et al. 2018

The Journal of the Acoustical Society of America

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Reducing data volume and improving signal-to-noise ratio (SNR) is of great importancefor echoes from submerged targets, affected by serious marine environment noise. The echo from a target is made of its response to the incident wave, with the superposition of highlights (subechoes from main constituents of the target). Each of these highlights can be seen as a block, and the echo therefore has a block-sparse feature. This paper proposes a Compressive Sensing method to leverage Prior Information (CSPI), in which knowledge of the incident wave and the blocksparse feature are leveraged into the dictionary structure and signal reconstruction. CSPI is illustrated with simulations and field measurements of backscattering for a 1:20 model of the Benchmark Target Strength Simulation Submarine (BeTSSi-Sub). CSPI performance is verified by analyzing the matching rate and signal-to-noise ratio (SNR). For simulated signals with differentnoise levels, CSPI can increase the matching rate, reconstruct an almost invisible signal (original SNR = 0 dB), and improve SNR by up to 13dB (for an original SNR of 4 dB) down to a still significant SNR of 7 dB (for an original SNR of 0 dB). For field measurements, CSPI can obtain the same SNR as the original signal using only 13% of the data, increasing SNR to 15 dB using 30% data, and increasing with the compression ratio.

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Investigation of Target Echoes in Multi-static SONAR system - Part II : Numerical Modeling with Experimental Verification

지¹,

배²,

변³

et al. 2014

Journal of Ocean Engineering and Technology

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Broadband Echoes From Underwater Targets

Cited by 3 publications

References 2 publications

A Torpedo Target Recognition Method Based on the Correlation between Echo Broadening and Apparent Angle

A Torpedo Target Recognition Method Based on the Correlation between Echo Broadening and Apparent Angle

Compressive sensing method to leverage prior information for submerged target echoes

Investigation of Target Echoes in Multi-static SONAR system - Part II : Numerical Modeling with Experimental Verification

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