The application of direction finding location technology in electronic warfare is becoming more and extensive. Aiming at the problem that traditional method will greatly affect accuracy when measurement information each observation station disturbed, a dual-station algorithm based on disturbance detection proposed. uses least squares to obtain target’s position moment, then designs an improved ...

Multi agent Markov decision processes (MMDPs), as the generalization of Markov decision processes to the multi agent case, have long been used for modeling multi agent system and are used as a suitable framework for Multi agent Reinforcement Learning. In this paper, a generalized learning automata based algorithm for finding optimal policies in MMDP is proposed. In the proposed algorithm, MMDP ...

We revisit the problem of finding shortest unique substring (SUS) proposed recently by [6]. We propose an optimal O(n) time and space algorithm that can find an SUS for every location of a string of size n. Our algorithm significantly improves the O(n) time complexity needed by [6]. We also support finding all the SUSes covering every location, whereas the solution in [6] can find only one SUS ...