Optimal Adaptive Waveform Selection for Target Tracking

In cognitive radar, the transmitter adjusts its illumination of the environment in an intelligent manner and selects the best waveform sequence according to different environment Waveform. selection is an important problem in the research of cognitive radar. The problem of adaptive waveform selection can be viewed as a problem of stochastic dynamic programming. However, as a result of large state variable space and large decision variable space, the computational cost of solution of optimality equations is very high. To account for these shortcomings, we can use forward dynamic programming algorithm approximating the expectation. This method can reduce the computational cost compared to the traditional algorithm, especially in problems of high dimensions. The adaptive scheduling algorithm can minimize target tracking errors, too.