The invention provides a DSSS signal detection identification method, comprising the steps of: 1, calculating the power spectrum of a received signal, performing logarithm operation on the power spectrum, using a logarithm operation result as a detection signal, and using the power spectrum of the detection signal as a detection spectrum; 2, filtering the detection spectrum; 3, searching filtered signals for a maximum value Vmax, and calculating the mean value Vmean of the filtered signals; 4, using the ration between the Vmax and the Vmean as a detection characteristic value E, i.e., E= Vmax / Vmean; and 5, comparing the E with a preset threshold value ethreshold, and determining the received signal to be a DSSS signal if E>ethreshold. The method fully utilizes the frequency domain and time domain periodicity of pseudo-code components in the DSSS signal, and employs the logarithm operation to increase the discrete components lost in continuous quantity, thereby reducing the noise influence to performance identification; the method is easy to realize, and has high signal identification efficiency.