JOURNAL ARTICLE

Interference Effects of Pseudo-Random Frequency-Hopping Signals

Stanley A. Cohen

Year: 1971 Journal:   IEEE Transactions on Aerospace and Electronic Systems Vol: AES-7 (2)Pages: 279-287   Publisher: Institute of Electrical and Electronics Engineers

Abstract

When a pseudo-random frequency-hopping signal is intercepted by a conventional receiver operating within the same frequency band, the interfering signal has the form of a pulse-amplitude modulated signal. Each pulse amplitude is dependent upon the hopping frequency and the selectivity characteristic of the victim receiver. The probability density function for the interfering pulse amplitude prior to demodulation is determined when the probability density function for the hopping frequency is uniform and the victim-receiver characteristic is 1) ideal flat bandpass, 2) single tuned, and 3) Gaussian shaped. It is shown that the average interfering pulse amplitude and interference power decrease as the frequency-hopping bandwidth increases with respect to the victim-receiver bandwidth. Fast Fourier transform computer techniques are used to obtain the probability density function of the interference amplitude in a Gaussian receiver when several (from 2 to 10) pseudo-random frequency-hopping systems are simultaneously using the same frequency band. The probability that the interference exceeds a prescribed threshold value is computed from the derived probability density functions. This probability may be used in signal-to-interference ratio calculations, to describe the capture effect, or to compute the expected number of clicks produced in an FM discriminator.

Keywords:
Frequency-hopping spread spectrum Probability density function Bandwidth (computing) Amplitude Demodulation Interference (communication) Discriminator Spectral density Pulse-amplitude modulation Mathematics Frequency modulation Physics Electronic engineering Acoustics Pulse (music) Telecommunications Statistics Computer science Optics Detector Engineering

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Topics

Microwave and Dielectric Measurement Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Acoustic Wave Resonator Technologies
Physical Sciences →  Engineering →  Biomedical Engineering
Wireless Signal Modulation Classification
Physical Sciences →  Computer Science →  Artificial Intelligence

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