Improved generalized adaptive coherent integration algorithm
Peng Wang · Shengxue jishu · 2010
GACI (Generalized Adaptive Coherent Integrator) algorithm is effective in pulse signals detection.In an improved style,called IGACI,more momentum factors than those in GACI algorithm,are introduced into the iteration formulas for weight coefficients.Such processing allows the utilization of more history information available in weight coefficients within the impulse,and accordingly the sinusoidal and LFM (Linear Frequency Modulated) signals to be detected can be adaptively coherent integrated.Thus,under the condition of low input SNR (signal to noise ratio),signal detection can be accomplished without knowing of a priori or with only a little knowledge of a priori.Both GACI and IGACI algorithms are used for detecting the LFM signals in white Gaussian noise.Simulations show that IGACI could get better performances.