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The radar performs three main functions: search, tracing and weapon engagement. Each of functions occupies amount of time, energy and computation resource of the radar system. For cognitive radar, it should have the basic function which is learning. The radar needs to manage its resources dynamically and interactively between the setting of radar parameters to optimize the tasks to be carried out...
In cognitive radar, it is very important to select proper waveform to transmit according to different environment. The adaptivity of waveform corresponding to environment can be realized in many ways. In this paper, stochastic dynamic programming model of adaptive waveform selection is proposed. With this model, dynamic programming algorithms can be used to solve the problems of adaptive waveform...
One of the important issues for cognitive radar is how to optimally decide or select the radar waveform for the next transmission based on the observation of past radar returns. In this paper, with the stochastic dynamic programming model of waveform scheduling, the optimal algorithm of waveform scheduling is proposed. In order to solve the problem that we can not compute the exact value function...
The largest difference between cognitive radar and other adaptive radar is the adaptivity of transmitter in cognitive radar. How to optimally decide or select the radar waveform for next transmission based on the observation of past radar returns is one of the important issues. In this paper, with the stochastic dynamic programming model of waveform selection, we use the method of temporal difference...
Dim point target from an image sequence has been merged into the clutter. So the image has a low SNR and the detection of the dim point target under the low conditions becomes the sticking point. We introduce a novel tracking system based on dynamic programming algorithm (DPA). This algorithm can detect the dim point targets under the condition of low SNR. The dynamic programming technique can detect...
Cognitive radar is a new framework radar system proposed in 2003 and waveform selection is an important problem in this type of radar. In this paper, we design a knowledged-based (KB) waveform selector and use stochastic dynamic programming model to describe waveform selection problem. To solve the problem of curses of dimensionality, we use approximate dynamic programming (ADP) in our solution. This...
The problem of adaptive waveform selection can be viewed as a problem of stochastic dynamic programming. However, the computational cost of solution of optimality equations is very high as a result of large state variable space. So far few suitable scheduling algorithms have been proposed. To account for the aboved shortcoming, we can use approximate dynamic programming (ADP) to solve adaptive waveform...
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