The Method to Determine the Noise Power of Wind Profile Radar

He Ping; Li Bai; Wu Lei; Gao Yuchun

Vol.24, NO.3, 2013

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2013 > 24(3): 297-303

He Ping, Li Bai, Wu Lei, et al. The method to determine the noise power of wind profile radar. J Appl Meteor Sci, 2013, 24(3): 297-303.

Citation:

He Ping, Li Bai, Wu Lei, et al. The method to determine the noise power of wind profile radar. J Appl Meteor Sci, 2013, 24(3): 297-303.

He Ping, Li Bai, Wu Lei, et al. The method to determine the noise power of wind profile radar. J Appl Meteor Sci, 2013, 24(3): 297-303.

Citation:

He Ping, Li Bai, Wu Lei, et al. The method to determine the noise power of wind profile radar. J Appl Meteor Sci, 2013, 24(3): 297-303.

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The Method to Determine the Noise Power of Wind Profile Radar

He Ping^{1
,
,},
Li Bai²,
Wu Lei²,
Gao Yuchun²

1.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Meteorological Observation Center of CMA, Beijing 100081

Received Date: 2012-06-01
Rev Recd Date: 2013-03-25
Publish Date: 2013-06-30

Abstract

Abstract

The main intention of designing wind profile radar is to obtain wind information of the atmosphere. However, it does not take full account of the function of intensity measurement. The applications of the wind profile radar will be greatly expanded, if the function of intensity measurement is implemented. A very important extension is to measure the process of precipitation and to get raindrop size distribution which can fundamentally improve the quality of quantitative measurement of precipitation. To achieve the intensity quantitative measurement, the key technical issue that must be solved is how to calculate the noise power accurately from power spectral density. Based on the power spectral density estimation method of wind profile radar adopted and the noise frequency domain statistical characteristics, a method to calculate noise power of wind profile radar is proposed and the validation of the method is done by using of wind profile radar measured power spectral density data. Results show that the method performs well. The power spectral density of noise can be separated accurately even in complex echo situation such as precipitation or strong surface clutter. The method is established on solid theory foundation. The calculation of noise power is accurately, quickly and efficiently, which looks forward to becoming a practical technology of wind profile radar.
- wind profile radar;
- power spectrum;
- noise power

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References(17)

Figures and Tables

图 1 降水天气时确定噪声功率密度门限实例

(a) 实测功率谱，(b) 噪声功率谱，(c) 判别因子R随迭代次数变化

Fig. 1 Example of determining the threshold of noise power density on precipitation weather

(a) curve of power spectral density, (b) curve of noise power spectral density, (c) variation of discriminate factor R with iterations

DownLoad: Full-Size Img PowerPoint

图 2 强地物信号时确定噪声功率密度门限实例

(a) 实测功率谱，(b) 噪声功率谱，(c) 判别因子R随迭代次数变化

Fig. 2 Example of determining the threshold of noise power density in clutter environment

(a) curve of power spectral density, (b) curve of noise power spectral density, (c) variation of discriminate factor R with iterations

DownLoad: Full-Size Img PowerPoint

图 3 晴空最远距离门确定噪声功率密度门限实例图

(a) 实测功率谱，(b) 噪声功率谱，(c) 判别因子R随迭代次数变化

Fig. 3 Example of determining the noise power density threshold in the most distant

(a) curve of power spectral density, (b) curve of noise power spectral density, (c) variation of discriminate factor R with iterations

DownLoad: Full-Size Img PowerPoint

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