Detection of radio pulses in unfiltered signals received by spatially distributed receivers

Two recursive algorithms for detection of radio pulses in unfiltered signals received by spatially distributed sensors, such as antenna array elements, are proposed. The algorithms are based on the stochastic gradient ascent algorithm estimating the parameters of mutual mismatch between signals received by spatially distributed sensors. Stabilization of the estimates of signals' time alignment is chosen as one of the detection criteria. Another criterion is based on the analysis of the correlation coefficient between the aligned signals. Signal alignment is performed recurrently in real time. It is shown that if correlation coefficient is chosen as the objective function showing the alignment quality we need to estimate only time shift between the received signals. Experiments show the efficiency and the high probability of correct detection of the proposed algorithms. In order to increase detection reliability the algorithms can easily be combined.