A New Online Dynamic Testing Method for Nonlinear Distortion of Broadcast Transmitter. Issue 2 (1st March 2020)

• Record Type: Journal Article
• Authors: Li, Shanshan; Zhou, Jian; Wang, Xuan
• Is Part Of: Chinese journal of electronics. Volume 29:Issue 2(2020)
• Page Start: 385
• Page End: 390
• Publication Date: 2020-03-01
• Subjects: Histogram -- Least square -- Nonlinear fitting -- Gauss‐Newton iteration -- Digital measurement; dynamic testing -- harmonic distortion -- least squares approximations -- nonlinear distortion -- polynomials -- radio transmitters; input‐output signal amplitude values -- transmitter data collection -- new online dynamic testing method -- harmonic distortion -- automatic online method -- inconvenient data storage -- tester -- broadcast transmitter -- nonlinear distortion -- test accuracy -- residual value -- discrete values -- nonlinear polynomial fitting -- least squares algorithm -- transmitter input -- discrete distribution -- cumulative distribution function -- histogram algorithm; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2020.02.003
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : The traditional method for measuring the parameters of the transmitter is that the tester measures the parameters according to the test standard and records the test results manually in the case of non‐work time. It has some shortcomings, such as low efficiency, inconvenient data storage and higher requirements for testers. In view of the shortcomings, an automatic online method of measuring harmonic distortion of transmitter is proposed. The method calculates parameter values by collecting transmitter data in real time. It is based on the histogram algorithm. According to the cumulative distribution function, discrete distribution of transmitter input and output signal amplitude values are obtained, and then the least squares algorithm is applied to the nonlinear polynomial fitting of discrete values. The feasibility of the method is verified by experimental simulation, and the residual value and test accuracy of different test methods are given.