Title: Study of adaptive clutter suppression method used for airborne forward-looking wind shear radar

Authors: Jia Meng; Zhang Ye

Addresses: Xinxiang University, Ürümqi, Xinxiang, China ' Xinxiang University, Ürümqi, Xinxiang, China

Abstract: The low-level wind-shear has a significant impact on aviation safety. Airborne forward-looking wind-shear weather radar detects the existence of wind-shear during the aircraft taking-off and landing by using the Doppler effect. This paper first carries on the summary analysis to the characteristic of ground clutter in the airborne foresight wind shear radar. On the concrete application to clutter suppression of the airborne predictive wind shear radar, a new adaptive clutter suppression filter based on the Least Mean Square (LMS) error is presented in this paper. This paper introduces the basic principle and working process of this kind of adaptive filter, gives the computer filter results finally. The theoretical analysis and filter results indicate that this kind of adaptive clutter suppression technology based on the LMS has good ground clutter inhibiting ability in the really low signal-to-clutter ratio (25 dB) situation. The structure of this filter is simple, and is easy to implement for the project.

Keywords: wind shear radar; ground clutter suppression; adaptive filter; signal-to-clutter ratio.

DOI: 10.1504/IJWMC.2023.134678

International Journal of Wireless and Mobile Computing, 2023 Vol.25 No.3, pp.209 - 214

Received: 30 Sep 2022
Accepted: 02 Nov 2022
Published online: 03 Nov 2023 *

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