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Radar Image Enhancement Model Using Adaptive Kalman Filter

Pratibha Tiwari1 , Agya Mishra2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 750-759, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.750759

Online published on Feb 28, 2019

Copyright © Pratibha Tiwari, Agya Mishra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Pratibha Tiwari, Agya Mishra, “Radar Image Enhancement Model Using Adaptive Kalman Filter,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.750-759, 2019.

MLA Style Citation: Pratibha Tiwari, Agya Mishra "Radar Image Enhancement Model Using Adaptive Kalman Filter." International Journal of Computer Sciences and Engineering 7.2 (2019): 750-759.

APA Style Citation: Pratibha Tiwari, Agya Mishra, (2019). Radar Image Enhancement Model Using Adaptive Kalman Filter. International Journal of Computer Sciences and Engineering, 7(2), 750-759.

BibTex Style Citation:
@article{Tiwari_2019,
author = {Pratibha Tiwari, Agya Mishra},
title = {Radar Image Enhancement Model Using Adaptive Kalman Filter},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {750-759},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3738},
doi = {https://doi.org/10.26438/ijcse/v7i2.750759}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.750759}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3738
TI - Radar Image Enhancement Model Using Adaptive Kalman Filter
T2 - International Journal of Computer Sciences and Engineering
AU - Pratibha Tiwari, Agya Mishra
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 750-759
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Echo and noise is one of the critical disturbances that alter the quality of radar images. To reduce the echo and noise in radar images we used adaptive Kalman filter. For radar image enhancement, denoising and echo cancellation are need of the system. In this paper an adaptive Kalman filter based model is proposed to reduce the echo and noise in radar images. The Kalman filter is compared with different parameters. Form experimental results the new proposed adaptive Kalman filter based model gives promising results for echo cancellation and denoising of radar images.

Key-Words / Index Term

Adaptive Kalman filter, echo cancellation, denoising, deblurring, radar images

References

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