By Edited by: Sergio Rui Silva
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Additional resources for Advances in Sonar Technology
Therefore, the autofocus problem can be thought as a typical system estimation problem: estimate the unknown system parameters using a random noise input. If the auto-focus algorithms estimates the real path of sonar platform they are called micronavigation algorithms [Bellettini et al (2002)] (sometimes with the aid of navigation sensors such as inertial units) otherwise they are generically designated as auto-focus algorithms. Redundant phase centre algorithm and shear average algorithm are examples of micronavigation algorithms.
Starting with the available navigation solution, the errors are modelled in a suitable way. If the expected errors are small they can be modelled as phase errors for each along-track position. If the sonar platform dynamic model is known, the number of search variables can be greatly reduced by parameterizing this model ([Fortune, S. A. et al (2001)]). These parameters are weighted together with the image metric and serve as a cost function for the optimization algorithm to search the solution space (Fig.
C τ= (3) The relationship between ground–plane and slant-plane (see lower right figure of Fig. ) is approximated as ΔR g = ΔR s . cos θ g (4) Therefore, two objects on the seafloor are fully resolvable if their ground separation satisfies Δ Rg ≥ cτ . 2 cos θ g (5) Fig. 1. Sonar geometry; (left) One-sided SLS geometry, (right) Time domain representation of a transmitted pulse and corresponding echoes. Through equation (5) the range resolution is directly proportional to the ping duration τ and finer range resolution requires transmission of shorter pulses.
Advances in Sonar Technology by Edited by: Sergio Rui Silva