This invention discloses a
chaotic communication
system and
signal detection method based on multi-domain orthogonal code indexing, belonging to the field of
wireless communication and intelligent
signal processing technology. The
system includes a
transmitter, a
wireless channel, and a
receiver. The
transmitter first divides the input
bitstream to obtain domain index information, code index information, and modulation information; then, it selects the corresponding orthogonal code domain based on the domain index information and the corresponding orthogonal codeword based on the code index information; it generates a
chaotic sequence using Chebyshev mapping and constructs an orthogonal
chaotic sequence
pool using the
Gram-Schmidt
orthogonalization method; finally, it combines M-ary DCSK modulation and a multi-carrier, multi-slot transmission structure to form the transmitted
signal. The
receiver demodulates, filters, and samples the received signal, then inputs the time-domain features into a multi-task
convolutional neural network for joint detection, realizing the
recovery of the domain index, code index, and modulation information. This invention, by introducing a multi-domain orthogonal code indexing and
deep learning joint detection mechanism, effectively improves the
system's
spectral efficiency, error rate performance, and
physical layer security performance, making it suitable for
wireless secure communication, IoT communication, and
data transmission scenarios in complex wireless channel environments.