Adaptive Algorithm for Radar-System Parameters Tuning by means of Motion Zone Estimation

Observations made with crossed-polarization radar system systems do not support the suggestion that the ionized meteor trail may act as a strong filter–polarizer of the incident radio wave. Experiments have been carried out to determine the variation of normal meteor echo rates with transmitter power, antenna gain, and radio wave length, and all confirm Lovell's scattering formula, provided that account is taken of the effective broadening of the scattering pattern of the meteor trail with increasing wave length. The limiting sensitivity of the 9.22 m. 200 kw. radar is determined to be about 9th magnitude. During a strong visual shower the observed increase in visual rates and low-power radar rates, compared to high-power radar rates, is explained by assuming that the magnitude distribution of the shower meteors differs from the normal nonshower distribution.

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Adaptive Management of System Parameters of Maintenance, As Well As Repair and Optimization of Spare Parts, Tools and Accessories of the Integrated Radar System on the Basis of Reliability Model and Control Data

Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2018) ◽

10.2991/iscfec-18.2019.145 ◽

2019 ◽

Cited By ~ 2

Author(s):

S. Boev ◽

D. Kiryanov ◽

S. Matveeva

Keyword(s):

Adaptive Management ◽

Spare Parts ◽

Radar System ◽

Reliability Model ◽

Control Data ◽

System Parameters ◽

And Control

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Influence of significant radar system parameters on resolution of image in Doppler Radar Tomography

PRZEGLĄD ELEKTROTECHNICZNY ◽

10.15199/48.2016.02.30 ◽

2016 ◽

Vol 1 (2) ◽

pp. 104-107

Author(s):

Ewa SWIERCZ

Keyword(s):

Doppler Radar ◽

Radar System ◽

System Parameters

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A New Improved Adaptive Algorithm in Gravity Anomaly Processing

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.466-467.556 ◽

2012 ◽

Vol 466-467 ◽

pp. 556-560

Author(s):

Cheng Luo ◽

Hong Sheng Li ◽

Li Ye Zhao

Keyword(s):

Kalman Filter ◽

Gravity Anomaly ◽

Adaptive Filter ◽

Adaptive Algorithm ◽

Gravity Data ◽

Adaptive Kalman Filter ◽

Current Time ◽

System Parameters ◽

System Noise ◽

Gravity System

In order to effectively eliminate the measurement and system noise and improve the accuracy of the gravity anomaly, based on the sage-husa filter, a modified adaptive Kalman filter is proposed. The sum of the weighted innovation sequence is used as the innovation at current time, and then system parameters Q and R can be estimated by the innovation. The adaptive algorithm is conducted theoretically and based on the real gravity data, the de-noising experiment has been emulated. The simulations indicate that both filters can effectively inhibit the noise of inertial/gravity system, but the proposed filter has a better performance than sage-husa adaptive filter.

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