Generation of Interference Signals

In the field of communications, signal interference is a common challenge. During signal transmission, various types of interference such as single-tone, multi-tone, and band interference can degrade signal quality. These interferences result in unclear and unstable signals, ultimately affecting communication reliability and efficiency. Therefore, when designing and implementing communication systems, appropriate measures must be taken to mitigate or eliminate these interference effects to ensure normal communication operation.

From a technical implementation perspective, single-tone interference can be generated using a simple sinusoidal waveform with a fixed frequency, while multi-tone interference requires summing multiple sinusoids at different frequencies. Band interference typically involves filtered noise or specific modulated signals occupying a particular frequency band. In MATLAB, these can be implemented using functions like sin() for basic tone generation, fir1() or butter() for band-limiting filters, and awgn() for adding noise-based interference. Proper parameter configuration including frequency selection, amplitude levels, and bandwidth specifications is crucial for accurate interference modeling.