Adaptive Algorithm-Based Fused Bayesian Maximum Entropy-Variational Analysis Methods for Enhanced Radar Imaging

Vázquez-Bautista, R.F.; Morales-Mendoza, Luis J.; Ortega-Almanza, R.; Ortega, Andrés Blanco

doi:10.1007/978-3-642-15992-3_17

Cited by 2 publications

(2 citation statements)

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“…In [ 20 ], contrast-limited adaptive histogram equalization (CLAHE) is used to improve contrast, and the Wiener filter is used for noise reduction. Adaptive filtering uses the filter parameter results obtained at the previous moment to automatically adjust those at the present moment to achieve optimal filtering [ 21 , 22 , 23 , 24 ]. In [ 21 ], the formalism for combining the Bayesian maximum entropy strategy with the variational analysis (VA) paradigm is presented to improve the Bayesian maximum entropy–variational analysis (BMEVA) performance for high-resolution radar imaging and denoising.…”

Section: Introductionmentioning

confidence: 99%

“…Adaptive filtering uses the filter parameter results obtained at the previous moment to automatically adjust those at the present moment to achieve optimal filtering [ 21 , 22 , 23 , 24 ]. In [ 21 ], the formalism for combining the Bayesian maximum entropy strategy with the variational analysis (VA) paradigm is presented to improve the Bayesian maximum entropy–variational analysis (BMEVA) performance for high-resolution radar imaging and denoising. The feasibility of integrating an adaptive filter approach for the compensation of platform motion artefacts is investigated in [ 22 ] for the extraction of respiratory motion signatures.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Adaptive Median Filtering Algorithm for Radar Image Co-Channel Interference Suppression

Liu

2022

Sensors

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In order to increase the accuracy of ocean monitoring, this paper proposes an improved adaptive median filtering algorithm based on the tangential interference ratio to better suppress marine radar co-channel interference. To solve the problem that co-channel interference reduces the accuracy of radar images’ parameter extraction, this paper constructs a tangential interference ratio model based on the improved Laplace operator, which is used to describe the ratio of co-channel interference along the antenna rotation direction in the original radar image. Based on the idea of between-class variance, the tangential interference ratio threshold is selected to divide co-channel interference into high-ratio regions and low ones. Moreover, an improved adaptive median filter is used to process regions of high ratio based on the median of sub-windows, while that of low-ratio regions is processed by the adaptive median filter based on the median of current windows. Radar-measured data from Bohai Bay, China are used for algorithm validation and experimental results show that the proposed filtering algorithm performs better than the adaptive median filtering algorithm.

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