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Journal ArticleDOI

Response of ideal radio noise meter to continuous sine wave, recurrent impulses, and random noise

TLDR
In this paper, the responses of an ideal radio noise meter to continuous sine wave, recurrent impulses, and random noise are evaluated and tabulated, and the ideal meter consists of a narrow-band linear low noise super-heterodyne network followed by a detector which responds to the envelope of the intermediate frequency and a dc voltmeter which indicates the detector output.
Abstract
The responses of an ideal radio noise meter to continuous sine wave, recurrent impulses, and random noise are evaluated and tabulated. The ideal meter consists of a narrow-band linear low noise super-heterodyne network followed by a detector which responds to the envelope of the intermediate frequency and a dc voltmeter which indicates the detector output. Four detector circuits — peak, quasi-peak, average, and rms — are considered. Their “ideal” characteristics are defined in the text.

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Proceedings ArticleDOI

EMI-receiver simulation model with quasi-peak detector

TL;DR: In this paper, an electromagnetic interference (EMI) receiver simulation model is presented, which is intended to analyze electromagnetic emission (EME) of integrated circuits from transient simulations, and it is implemented using an STFT algorithm, and evaluates simulation output in CISPR Band-B/C/D with peak, average and quasi-peak detector.
Journal ArticleDOI

Distribution and Frequency Dependence of Incidental Man-Made HF/VHF Noise in Metropolitan Areas

TL;DR: In this article, a compilation and analysis of metropolitan area incidental radio noise data was performed for the 200-to-500-MHz range and the noise regions, Urban, Suburban I, and Suburban II, were identified.
Journal ArticleDOI

Analysis of Airborne VHF/UHF Incidental Noise over Metropolitan Areas

TL;DR: In this paper, the functional dependence of airborne incidental noise upon detector altitude is computed and compared with available VHF measurements, and a comparison is made between man-made surface noise power density obtained from both airborne and surface measurements.
Journal ArticleDOI

Radio Noise Meter Response to Random Pulses by Computer Simulation

TL;DR: In this article, the response of the conventional radio noise meters to random pulses is investigated using digital computer simulation, which represents more closely the detector output circuit of a radio noise meter, and the results show that the degree of randomness, both in amplitudes and separation intervals, of the pulses increases, the quasi-peak value becomes roughly proportional to the rms value.