BPSK signal blind recognition result effectiveness evaluation method based on HOUGH transformation

The invention provides a BPSK signal blind recognition result effectiveness evaluation method based on HOUGH transformation. The method comprises the steps that under the condition of having no signal priori knowledge, a reference signal is constructed according to a signal model corresponding to a modulation and recognition result, after the relevant accumulation of the reference signal and an observation signal is analyzed, a module value curve is transformed into a binarized two-dimensional image, then HOUGH transformation is carried out, straight line detection is carried out, and the effectiveness of a BPSK signal blind recognition result can be judged according to straight lines in data space by detecting the number of focus points of parameter space. According to the algorithm, the effectiveness of the BPSK signal blind recognition result can be detected under the condition of a low signal to noise ratio, and the signal priori information is not needed.