KEYWORDS: Signal processing, Signal to noise ratio, Modulation, Error analysis, Interference (communication), Error control coding, Signal detection, Receivers, Resistance, Demodulation
The transmission of communication signals must not only ensure the speed of transmission, but also ensure the accuracy of transmission. The current research has been able to draw the advantages and disadvantages of the application of different error-correcting codes. However, it is not enough to simply compare transmission performance between different error correction code applications. Therefore, this paper uses MATLAB to simulate the transmission environment of the real channel, analyzes the reception error of short-length data through QPSK coding and IQ modulation, and analyzes the signal transmission using error correction code (Hamming code) and error detection code (even check code). The transmission performances were explored and compared, and their anti-noise interference performance was analyzed. Studies have shown that for short-length data, the error correction method using Hamming code can resist limited noise interference, but it can save bandwidth and increase the proportion of effective signal bits. In the low signal-to-noise ratio case, the method of using even-check code to detect errors has problems. Errors may be generated, and the proportion of effective signal bits is low, but the adaptability to noise is stronger than the previous method. Therefore, it is recommended to select different transmission methods for transmission environments with different signal-to-noise ratio ranges, and the combination of the two may further improve the anti-noise interference capability of signal transmission.
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