Improved Tong multiple trial algorithm with near neighbor constraint in extremely low SNR condition

For signal acquisition of measurement radar with pseudo-noise code modulated continuous wave in extremely low SNR condition, in order to enhance the sensitivity of Tong algorithm the pseudo-noise code phase differences between two single detections are introduced as near neighbor constraint within a certain range to decide the increase or decrease in value of up/down counter except the threshold condition. The mathematical model of Tong algorithm based on Markov chain is built to analyze the detection performance of improved Tong algorithm with near neighbor constraint. The simulation results show that this architecture can substantially reduce the probability of false alarm while the probability of detection remains almost unchanged, therefore, the detection ability is enhanced compared with the traditional Tong algorithm while the detection speed remains unaffected.