Improved generalized adaptive coherent integrator algorithm

GACI (Generalized Adaptive Coherent Integrator) algorithm is quite effective in detecting pulse signals. We aim to improve it further and present in this paper improved GACI algorithm, called by us IGACI algorithm. In IGACI algorithm, momentum factors, more than those in GACI algorithm, are introduced into the iteration formulas for weight coefficients. This greater introduction of momentum factors allows the utilization of more history information available in weight coefficients during impulse period, and accordingly the sinusoidal and LFM (Linear Frequency Modulated) signals to be detected can be adaptive coherent integrated; thus, under the condition of low input SNR (signal to noise ratio), signal detection can be accomplished without requiring knowledge of a priori information or with only a little knowledge of a priori information required. Both GACI and IGACI algorithms are used for detecting the LFM signals in white Gaussian noise. Simulation results confirm preliminarily that IGACI algorithm is indeed better than GACI algorithm, and show that IGACI algorithm is feasible.