Abstract

Parabolic antenna reflector deformation caused by one-sided heating may be described by linear stretching model. The modeling of the influence of the antenna reflector stretching on the error in determining the bearing in the problem of passive monopulse direction finding was done. The method of electric axis displacement accounting was proposed and its feasibility was shown. The comparison of the probabilities of the bearing estimation with an error less than fixed threshold for the initial and refined radiation pattern was made.

Highlights

  • The task of passive radio source localization by single receiver is important for space communication and radar systems

  • A discrete representation of the continuous surface of the antenna reflector is considered. Under such conditions radiation pattern is a superposition of the fields created by elements of the reflector, considering their amplitudes and phases

  • An algorithm for updating the radiation pattern is proposed in the article

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Summary

Introduction

The task of passive radio source localization by single receiver is important for space communication and radar systems. The traditional radio source bearing determining algorithms using the single-pulse method [1] work on the linear section of the direction-finding characteristic which is certain function of the RP main beams, using approximation of the RP by smooth functions (for example, Gaussian). Such a task requires significant time and computational resources. Computationally efficient algorithms for estimating change in the radiation pattern from the antenna deformation are important for decreasing the bearing estimation error. In the article such algorithm based on reflector stretching model is proposed and its feasibility is shown. The research of the accuracy of direction finding using the initial and refined radiation pattern was done

Used methods and approximations
A SNRout 10 20
Estimation of radiation pattern for antenna with a deformed reflector
Linear displacement model verification
The probability of determining a bearing with error less than fixed threshold
Conclusion
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