A waveguide invariant adaptive matched filter for active sonar target depth classification

Goldhahn, Ryan; Hickman, Granger; Krolik, Jeffrey L.

doi:10.1121/1.3557041

Cited by 11 publications

(4 citation statements)

References 26 publications

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“…However, in CAS signals the direct arrival is almost always overlapping in time with the target echo return, and the standard time-gating technique is insufficient to isolate the echo return in the raw acoustic data. Matched filtering may be used to effectively compress the echo pulses so that timegating can isolate the target returns, and it has been shown that the waveguide invariant striations are preserved in matched filter output of PAS signals [3], [5], [17], [18]. However, target motion during the long duty cycle of CAS waveforms will impose some motion-dependent modulation on the target return, which may reduce correlation between the echo return and the source replica.…”

Section: B Extracting the Target Echo In Cas Datamentioning

confidence: 99%

Extraction of striations from continuous active sonar (CAS) data

Schecklman

Zurk

2015

OCEANS 2015 - Genova

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Previous work has shown that the waveguide invariant can provide a new physics-based tracking constraint that exploits the multipath structure to limit the possible target tracks in pulsed active sonar (PAS) data. The innovation of the invariance extended Kalman filter (IEKF) tracking algorithm is to make predictions and measurements of the target's propagation signature in addition to the conventional quantities of the target displacement and velocity vectors. A necessary preprocessing step is to isolate the target return from the direct arrival. Striation-based beamforming [1] can be used as an optional pre-processing step to preserve the multipath structure in the beamformer output of a horizontal line array (HLA). The recent trend toward continuous active sonar (CAS) processing has generated interest in how the waveguide invariant might be similarly exploited for tracking when the sonar is operated with a high duty cycle. It is expected that the physics-based signal processing algorithms discussed here will extend the applicability of the invariance principle to CAS systems and provide enhanced tracking performance.

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Section: B Extracting the Target Echo In Cas Datamentioning

confidence: 99%

Extraction of striations from continuous active sonar (CAS) data

Schecklman

Zurk

2015

OCEANS 2015 - Genova

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“…The data-based method for moving target depth estimation is also demonstrated experimentally [ 5 ]. Goldhahn [ 6 ] proposed a waveguide invariant depth classification method based on adaptive matched-filtering under uncertain environmental conditions. Matched field processing (MFP) [ 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 ] is a generalized beamforming method which uses the spatial complexities of acoustic fields in an ocean waveguide to estimate the range, depth and azimuth of targets.…”

Section: Introductionmentioning

confidence: 99%

A Three-Dimensional Target Depth-Resolution Method with a Single-Vector Sensor

Zhao

Jiang

et al. 2018

Sensors

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This paper mainly studies and verifies the target number category-resolution method in multi-target cases and the target depth-resolution method of aerial targets. Firstly, target depth resolution is performed by using the sign distribution of the reactive component of the vertical complex acoustic intensity; the target category and the number resolution in multi-target cases is realized with a combination of the bearing-time recording information; and the corresponding simulation verification is carried out. The algorithm proposed in this paper can distinguish between the single-target multi-line spectrum case and the multi-target multi-line spectrum case. This paper presents an improved azimuth-estimation method for multi-target cases, which makes the estimation results more accurate. Using the Monte Carlo simulation, the feasibility of the proposed target number and category-resolution algorithm in multi-target cases is verified. In addition, by studying the field characteristics of the aerial and surface targets, the simulation results verify that there is only amplitude difference between the aerial target field and the surface target field under the same environmental parameters, and an aerial target can be treated as a special case of a surface target; the aerial target category resolution can then be realized based on the sign distribution of the reactive component of the vertical acoustic intensity so as to realize three-dimensional target depth resolution. By processing data from a sea experiment, the feasibility of the proposed aerial target three-dimensional depth-resolution algorithm is verified.

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“…Yang adopted a method based on eigenvector decomposition technique [ 18 ] and data-based method [ 19 ] for depth estimation. Goldhahn [ 20 ] proposed a method for depth classification based on waveguide invariant adaptive matched-filtering. Matched field processing (MFP) [ 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ] has also been widely used in depth estimation studies.…”

Section: Introductionmentioning

confidence: 99%

Application and Extension of Vertical Intensity Lower-Mode in Methods for Target Depth-Resolution with a Single-Vector Sensor

Zhao

Jiang

et al. 2018

Sensors

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In this paper, based on the reactive component of the vertical intensity, the method for target depth resolution has been improved. In the previous existing research results, using the reactive component of vertical intensity, the research objects for target depth resolution in shallow water, can only be the targets whose frequencies can only excite the first two normal modes, and the depth of targets whose frequencies excite more than two normal modes cannot be correctly identified. The basic idea of the improved method is to classify targets on the foundation of the lower-mode correlation quantity of the vertical intensity. Based on the improved method, we can realize depth resolution of the targets whose frequency can excite the first three normal modes so as to effectively expand the working band useful for target depth resolution. Finally, we can realize the three-dimensional target depth resolution so as to distinguish the aerial, surface and underwater targets. The feasibility of the algorithm is verified by simulation and experimental data processing.

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A waveguide invariant adaptive matched filter for active sonar target depth classification

Cited by 11 publications

References 26 publications

Extraction of striations from continuous active sonar (CAS) data

Extraction of striations from continuous active sonar (CAS) data

A Three-Dimensional Target Depth-Resolution Method with a Single-Vector Sensor

Application and Extension of Vertical Intensity Lower-Mode in Methods for Target Depth-Resolution with a Single-Vector Sensor

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