2012International Symposium on Antennas and PropagationRequires access

A consideration of interference prevention technique for Doppler weather radars

Atsumu Hattori, Nobuyoshi Kikuma, Hiroshi Hirayama, Kunio Sakakibara

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Abstract

Doppler weather radar is a type of radar used to locate precipitation, calculate its motion, and estimate its type (rain, snow, hail, etc.). Modern weather radars are mostly pulse-Doppler radars, capable of detecting the motion of rain droplets in addition to the intensity of the precipitation. Data obtained from weather radars can be analyzed to determine the structure of storms and their potential to cause severe weather s uch as local short-term rainfall. In recent years, the installation places of the Doppler weather radars are increased in order to predict more exactly the local short-term rainfall. However, Doppler weather radars which are installed closely cause interference to each other. As a result, the correct meteorological data are no longer obtained from the radars. From now on, the number of the radars will increase because of more localization of short-term rainfall. Therefore, the evaluation of conventional interference prevention techniques and improvement of the techniques are indispensable for stable and reliable operation of the radars. In this paper, clarifying the characteristics of the conventional interference detection and correction algorithm in Doppler weather radars, we propose a novel algorithm and show through computer simulation that it is more effective than the conventional one.

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What this paper is about

Doppler weather radar is a type of radar used to locate precipitation, calculate its motion, and estimate its type (rain, snow, hail, etc.). Modern weather radars are mostly pulse-Doppler radars, capable of detecting the motion of rain droplets in addition to the intensity of the precipitation. Data obtained from weather radars can be analyzed to determine the structure of storms and their potential to cause severe weather s uch as local short-term rainfall. In recent years, the installation places of the Doppler weather radars are increased in order to predict more exactly the local short-term rainfall. However, Doppler weather radars which are installed closely cause interference to each other. As a result, the correct meteorological data are no longer obtained from the radars. From now on, the number of the radars will increase because of more localization of short-term rainfall. Therefore, the evaluation of conventional interference prevention techniques and improvement of the techniques are indispensable for stable and reliable operation of the radars. In this paper, clarifying the characteristics of the conventional interference detection and correction algorithm in Doppler weather radars, we propose a novel algorithm and show through computer simulation that it is more effective than the conventional one.

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Available abstract

Doppler weather radar is a type of radar used to locate precipitation, calculate its motion, and estimate its type (rain, snow, hail, etc.). Modern weather radars are mostly pulse-Doppler radars, capable of detecting the motion of rain droplets in addition to the intensity of the precipitation. Data obtained from weather radars can be analyzed to determine the structure of storms and their potential to cause severe weather s uch as local short-term rainfall. In recent years, the installation places of the Doppler weather radars are increased in order to predict more exactly the local short-term rainfall. However, Doppler weather radars which are installed closely cause interference to each other. As a result, the correct meteorological data are no longer obtained from the radars. From now on, the number of the radars will increase because of more localization of short-term rainfall. Therefore, the evaluation of conventional interference prevention techniques and improvement of the techniques are indispensable for stable and reliable operation of the radars. In this paper, clarifying the characteristics of the conventional interference detection and correction algorithm in Doppler weather radars, we propose a novel algorithm and show through computer simulation that it is more effective than the conventional one.

Key concepts: Weather radar, Doppler radar, Radar, Doppler effect, Meteorology, Precipitation, Radar configurations and types, Remote sensing

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