Acoustic model-based matched filter processing for fading time-dispersive ocean channels: theory and experiment

Hermand, J.-P.; Roderick, William I.

doi:10.1109/48.262295

Cited by 47 publications

(17 citation statements)

References 12 publications

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“…It showed that the decrease of the performance of the EnKPF induced by the reduction of the number of hydrophones on the VLA could be compensated by employing coherent processing of multiple frequency bins, as proposed in Ref. 37. This constitutes an important guideline in practical implementation.…”

Section: Discussionmentioning

confidence: 99%

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Tracking of time-evolving sound speed profiles in shallow water using an ensemble Kalman-particle filter

Zhou

2013

The Journal of the Acoustical Society of America

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This paper presents a tracking technique for performing sequential geoacoustic inversion monitoring range-independent environmental parameters in shallow water. The inverse problem is formulated in a state-space model with a state equation for the time-evolving sound speed profile (SSP) and a measurement equation that incorporates acoustic measurements via a hydrophone array. The particle filter (PF) is an ideal algorithm to perform tracking of environmental parameters for nonlinear systems with non-Gaussian probability densities. However, it has the problem of the mismatch between the proposal distribution and the a posterior probability distribution (PPD). The ensemble Kalman filter (EnKF) can obtain the PPD based on the Bayes theorem. A tracking algorithm improves the performance of the PF by employing the PPD of the EnKF as the proposal distribution of the PF. Tracking capabilities of this filter, the EnKF and the PF are compared with synthetic acoustic pressure data and experimental SSP data. Simulation results show the proposed method enables the continuous tracking of the range-independent SSP and outperforms the PF and the EnKF. Moreover, the complexity analysis is performed, and the computational complexity of the proposed method is greatly increased because of the combination of the PF and the EnKF.

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Section: Discussionmentioning

confidence: 99%

“…However, broadband signals are also widely used in geoacoustic inversion. As proposed in the model-based matched filter technique, 37 an increase in the number of frequency bins can compensate for a lack of hydrophones on the VLA. The different configurations tested are given in Table V.…”

Section: Effects Of Array Configurations and Signal Frequenciesmentioning

confidence: 99%

Tracking of time-evolving sound speed profiles in shallow water using an ensemble Kalman-particle filter

Zhou

2013

The Journal of the Acoustical Society of America

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“…Similarly, the matched filter gain can be degraded by the target response as well as interference between closely spaced echo arrivals, either due to multi-path propagation or target highlights [7,9]. The background level (due to noise [10] and reverberation [11]) is also influenced by the propagation conditions but will not be considered here.…”

Section: Sonar Performance Modelingmentioning

confidence: 99%

Time-evolving acoustic propagation modeling in a complex ocean environment

Colin

Duda

Raa

et al. 2013

2013 MTS/IEEE OCEANS - Bergen

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Abstract-During naval operations, sonar performance estimates often need to be computed in-situ with limited environmental information. This calls for the use of fast acoustic propagation models. Many naval operations are carried out in challenging and dynamic environments. This makes acoustic propagation and sonar performance behavior particularly complex and variable, and complicates prediction. Using data from a field experiment, we have investigated the accuracy with which acoustic propagation loss (PL) can be predicted, using only limited modeling capabilities. Environmental input parameters came from various sources that may be available in a typical naval operation.The outer continental shelf shallow-water experimental area featured internal tides, packets of nonlinear internal waves, and a meandering water mass front. For a moored source/receiver pair separated by 19.6 km, the acoustic propagation loss for 800 Hz pulses was computed using the peak amplitude. The variations in sound speed translated into considerable PL variability of order 15 dB. Acoustic loss modeling was carried out using a data-driven regional ocean model as well as measured sound speed profile data for comparison. The acoustic model used a two-dimensional parabolic approximation (vertical and radial outward wavenumbers only). The variance of modeled propagation loss was less than that measured. The effect of the internal tides and sub-tidal features was reasonably well modeled; these made use of measured sound speed data. The effects of nonlinear waves were not well modeled, consistent with their known three-dimensional effects but also with the lack of measurements to initialize and constrain them.

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“…Developments in T/R signal processing indicate that the potential for compensating the transmission channel while mitigating the need for detailed a priori knowledge of the channel characteristics is possible. [7][8][9][10][11][12][13][14][15][16][17][18][19][20] The T/R receiver does not require an explicit model for its realizations. It implicitly compensates for multipath distortion by using the equivalent of an imbedded phase conjugation technique for the equalization.…”

Section: Introductionmentioning

confidence: 99%

Time-reversal processing for an acoustic communications experiment in a highly reverberant environment

Candy

Meyer

Poggio

et al. 2004

The Journal of the Acoustical Society of America

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Time-reversal (T/R) communications is a new application area motivated by the recent advances in T/R theory. Although perceived by many in signal processing as simply an application of matched-filter theory, a T/R receiver offers an interesting solution to the communications problem for a reverberant channel. In this paper, the performance of various realizations of the T/R receiver for an acoustic communications experiment in air is described along with its associated processing. The experiment is developed to evaluate the performance of point-to-point T/R receivers designed to extract a transmitted information sequence propagating in a highly reverberant environment. It is demonstrated that T/R receivers are capable of extracting the transmitted coded sequence from noisy microphone sensor measurements with zero-symbol error. The processing required to validate these experimental results is discussed. These results are also compared with those produced by an equivalent linear equalizer or inverse filter, which provides the optimal solution when it incorporates all of the reverberations.

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Acoustic model-based matched filter processing for fading time-dispersive ocean channels: theory and experiment

Cited by 47 publications

References 12 publications

Tracking of time-evolving sound speed profiles in shallow water using an ensemble Kalman-particle filter

Tracking of time-evolving sound speed profiles in shallow water using an ensemble Kalman-particle filter

Time-evolving acoustic propagation modeling in a complex ocean environment

Time-reversal processing for an acoustic communications experiment in a highly reverberant environment

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