Ground Clutter Detection Algorithm for Array Weather Radar at Changsha Airport

Wei Wanyi; Ma Shuqing; Yang Ling; Zhen Xiaoqiong; Lü Siwei

doi:10.11898/1001-7313.20200308

Vol.31, NO.3, 2020

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Article Navigation > Journal of Applied Meteorological Science > 2020 > 31(3): 339-349

Wei Wanyi, Ma Shuqing, Yang Ling, et al. Ground clutter detection algorithm for array weather radar at Changsha airport. J Appl Meteor Sci, 2020, 31(3): 339-349. DOI: 10.11898/1001-7313.20200308.

Citation:

Wei Wanyi, Ma Shuqing, Yang Ling, et al. Ground clutter detection algorithm for array weather radar at Changsha airport. J Appl Meteor Sci, 2020, 31(3): 339-349. DOI: 10.11898/1001-7313.20200308.

Citation:

Wei Wanyi, Ma Shuqing, Yang Ling, et al. Ground clutter detection algorithm for array weather radar at Changsha airport. J Appl Meteor Sci, 2020, 31(3): 339-349. DOI: 10.11898/1001-7313.20200308.

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Ground Clutter Detection Algorithm for Array Weather Radar at Changsha Airport

DOI: 10.11898/1001-7313.20200308

Wei Wanyi^{1, 2},
Ma Shuqing³,
Yang Ling^{1, 2
,
,},
Zhen Xiaoqiong^{1, 2, 4},
Lü Siwei⁵

1.
College of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225
2.
CMA Key Laboratory of Atmospheric Sounding, Chengdu 610225
3.
Meteorological Observation Center of CMA, Beijing 100081
4.
Institute of Atmospheric Physics, China Academy of Sciences, Beijing 100029
5.
Rayshon Technology Co., Ltd., Beijing 100089

Received Date: 2019-11-01
Rev Recd Date: 2020-01-03
Publish Date: 2020-05-31

Abstract

Abstract

In order to obtain more detailed small-scale weather system data, Meteorological Observation Center of China Meteorological Administration (CMA) designed and developed X-band array weather radar (AWR), cooperating with relevant manufacturers. In March of 2018, the first prototypeis deployed at Changsha Airport for field experiments. Combing advantages of networked radars and a distributed phased array technology, the AWR has a highly coordinated scanning mode and high spatial and temporal resolutions to acquire fine echo intensity and wind field data. Compared with conventional parabolic antenna weather radars, a phased array antenna has wider beams and stronger side lobes, so that more ground clutter will appear in radar echoes. If the ground clutter cannot be effectively detected and removed, the accuracy of radar products will be affected seriously.Data collected by the X-band AWR at Changsha Airport are used to study the ground clutter detection algorithm for the AWR. According to the research progress all over the world, characteristic parameters of reflectivity factors, radial velocity and velocity spectrum width are extracted. In addition, time variability of reflectivity factor (T_VR), a new parameter, is added due to the high temporal and spatial resolution of the AWR. Based on analyzing statistical characteristics of each feature parameter, membership functions are determined. The contribution of T_VR to the clutter detection algorithm and the performance of the algorithm on different weather conditions are analyzed. Results show that the accuracy of ground clutter detection for Changsha Airport AWR can be maximally increased by 4% by adding T_VR, and the error rate of detecting the precipitation echo as clutter echo can be decreased by 2%. The accuracy of the proposed ground clutter detection algorithm reaches 96% in the detection of ground clutter when no precipitation processes happen. In the precipitation weather, the accuracy is 92%, and the error rate of detecting the precipitation echo as clutter echo is about 10%. The algorithm can basically detect and remove the ground clutter echoes from precipitation echoes.
- ground clutter;
- fuzzy logic;
- time variability of reflectivity factor (T_VR);
- array weather radar (AWR)

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References(27)

Figures and Tables

Fig. 1 Intensity echo of isolated point before filtering(a) and after filtering(b)

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图 2 地物和降水回波各特征参数的概率分布

(a)M_DVE，(b)M_DSW，(c)T_DBZ，(d)G_DBZ，(e)S_PIN，(f)T_VR

Fig. 2 Probability distributions of ground clutter and precipitation echo

(a)M_DVE, (b)M_DSW, (c)T_DBZ, (d)G_DBZ, (e)S_PIN, (f)T_VR

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图 3 地物识别的隶属函数

(a)M_DVE，(b)T_DBZ，(c)G_DBZ，(d)S_PIN，(e)T_VR

Fig. 3 Membership functions of ground clutter detection

(a)M_DVE, (b)T_DBZ, (c)G_DBZ, (d)S_PIN, (e)T_VR

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Fig. 4 The echo intensity of subarray 1 at 1.4° elevation angle at 1027 BT 31 Jul 2019 (the distance between adjacent rang rings is 5 km) (a)before ground clutter detection, (b)after ground clutter detection

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Fig. 5 The echo intensity and radial velocity of subarray 1 at 1.4°elevation angle at 1517 BT 21 Jun 2019 (the distance between adjacent range rings is 5 km) (a)echo intensity before ground clutter detection, (b)echo intensity after ground clutter detection, (c)radial velocity before ground clutter detection, (d)radial velocity after ground clutter detection

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Fig. 6 The echo intensity and radial velocity of subarray 2 at 1.4°elevation angle at 1357 BT 21 Jul 2019 (the distance between adjacent range rings is 5 km) (a)echo intensity before ground clutter detection, (b)echo intensity after ground clutter detection, (c)radial velocity before ground clutter detection, (d)radial velocity after ground clutter detection

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Fig. 7 The echo intensity and radial velocity of subarray 2 at 2.8° elevation angle at 1357 BT 21 Jul 2019 (the distance between adjacent range rings is 5 km) (a)echo intensity before ground clutter detection, (b)echo intensity after ground clutter detection, (c)radial velocity before ground clutter detection, (d)radial velocity after ground clutter detection

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Table 1 Accuracy of ground clutter detection and error rate of precipitation detection

阈值	地物识别准确率/%		降水识别误判率/%
阈值	采用T_VR	未采用T_VR	采用T_VR	未采用T_VR
0.40	96	93	12	14
0.45	91	87	10	11
0.50	80	80	7	8
0.55	75	72	4	4
0.60	64	63	3	3

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Table 2 Accuracy of ground clutter detection algorithm under no precipitation condition

子阵	地物识别准确率/%
1	96
2	93
3	94

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Table 3 Accuracy of ground clutter detection and error rate of precipitation detection under mixed prcipitation condition

子阵	地物识别准确率/%	降水识别误判率/%
1	94	9
2	92	10
3	91	10

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Table 4 Accuracy of ground clutter detection and error rate of precipitation detection under convective precipitation condition

子阵	地物识别准确率/%	降水识别误判率/%
1	92	10
2	91	12
3	94	10

DownLoad: Download CSV

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