Neuimin O. Sequential target track detection methods using the plots decision statistics

In this dissertation target track detection methods based on the Wald test and "l/n-d" by taking into account the plots decision statistics in maintenance gate are improved. An adaptive multialternative sequential target track detection methods on the upper and lower thresholds which are based on the simple additions sequential test using plots decision statistics with unknown target SNR are synthesized. An adaptive two-decision sequential target track detection method using the decision statistics of plots with SNR estimating by using a minimum mean square error estimator is developed. An effectiveness analysis of derived algorithms was performed using statistical computer modeling, in solving the target track detection problem in pulse Doppler radar. A comparative analysis of the computational cost required in the implementation of the synthesized algorithms, as well as their feasibility on modern processors as part of a digital computer is carried out. Developed methods allow to increase the efficiency of target track detection at low SNR, and do not require significant computational cost.