Passive range estimation and range rate detection

Jeffers, R.; Breed, B.; Gallemore, B.

doi:10.1109/sam.2000.877979

Cited by 15 publications

(5 citation statements)

References 1 publication

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“…Nevertheless, when the number of targets exceeds two, the interference between the grating lobes caused by the same frequency signal intensifies, resulting in the inability to obtain the true DOAs directly. In order to reduce this kind of impact, this article uses inverse beamforming cancellation technology to select the estimated direction of arrival one by one in the queue, thereby reducing false alarms caused by interference between co-frequency grating lobes [ 43 ]. Let Θ be a set of predicted directions.…”

Section: Doa Estimation For Multiple Coherent Sources With Same Frequ...mentioning

confidence: 99%

Multiple co-frequency sources DOA estimation for coprime vector sensor arrays

Chen,

Zhang,

Wang

et al. 2023

PLoS ONE

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For the problem of direction-of-arrival (DOA) estimation using a coprime array, there are high spatial spectrum outputs of false alarms caused by the overlap of main and grating lobes from subarrays. In this paper, a DOA estimation method of more than two co-frequency sources for a coprime vector hydrophone array is proposed. The method is based on vector cross terms (VCTs), making full use of the directivity of channel combinations for vector hydrophones. Based on VCTs, the characteristic data point identification method is conducted and ensures that the bearing data with the characteristic can be preserved. For further interference rejection, the paper designs Queue Selection (QS) method based on inverse beamforming. The influence of grating lobes can be weakened with the QS, further improving the accuracy of direction extraction. The algorithm in this work does not require decoherence processing, and the simulation work shows that it achieves stable DOA estimation with a low signal-to-noise ratio (SNR).

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Section: Doa Estimation For Multiple Coherent Sources With Same Frequ...mentioning

confidence: 99%

Multiple co-frequency sources DOA estimation for coprime vector sensor arrays

Chen,

Zhang,

Wang

et al. 2023

PLoS ONE

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“…The active sonar transmits an acoustic wave that is reflected by the target and signal detection, parameter estimation and localization can be obtained through the corresponding echoes [1], [2]. On the other hand, passive sonar systems perform signal detection and estimation using the noise radiated by the target [2], [3]. Both passive and active sonar systems are mainly employed in military settings, although they are also used in commercial and scientific applications, i.e., detecting shoal fishes, performing tomography on sea to exploit a given area, to measure the depth of a region, and so on [4].…”

Section: Introductionmentioning

confidence: 99%

Improving the DEMON analysis using Independent Component Analysis

Moura¹,

Seixas²,

Fernandes³

2016

Anais Do 11. Congresso Brasileiro De Inteligência Computacional

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Abstract-Passive sonar systems used in submarines, performs the direction of arrival (DOA), the detection and classification of targets signals that are impinging on the hydrophones from a particular direction of interest. In some situations, depending on the resolution of the beamformer (hydrophones array) and when the signals are at too close bearings, a cross interference may bring difficult on the target identification by the operator of sonar. This paper aims at using independent component analysis (ICA) as preprocessing on DEMON analysis to improve the targets identification.The FastICA algorithm was used, which was applied to the simulated data, and performance was measured both, qualitatively and quantitatively.

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“…The active sonar system transmits an acoustic wave that may be reflected by the target and signal detection, parameter estimation and localization can be obtained through the corresponding echoes (Nielsen, 1991), (Waite, 2003). A passive sonar system performs detection and estimation using the noise irradiated by the target itself (Nielsen, 1991) (Clay & Medwin, 1998), (Jeffsers et al, 2000). The major difficulty in passive sonar systems is to detect the target in huge background noise environments.…”

Section: Introductionmentioning

confidence: 99%