Light space pulse position modulation step-by-step classification detection method based on K-means clustering

According to a light space pulse position modulation step-by-step classification detection method based on K-means clustering, according to the characteristics of light space pulse position modulation signals, a signal vector detection (SVD) algorithm is adopted to complete detection of light source index numbers, a K-means algorithm is utilized to cluster off-line received signals, and a K-means algorithm is utilized to perform clustering on the off-line received signals; and local de-mapping is performed on the obtained clusters to obtain a mapping relationship between the centroid and the modulation symbols, and real-time detection of online signals is completed by taking the mapping relationship as a criterion. On the basis, the bit error rate performance and calculation complexity of the method and detection algorithms such as ML and MMSE are analyzed. Compared with an ML algorithm, the complexity of the decoding algorithm can be greatly reduced at the cost of small error code performance loss, and meanw