Suggestions(5)
Exact(2)
The first one is to maximize the conditional mutual information between the target impulse response and the reflected waveform.
In [18], a waveform optimization approach is provided for cognitive MIMO radar based on the MI between the target impulse response and the received echoes and the MI between successive backscatter signals.
Similar(57)
The conditional mutual information between the received signal Y and the target impulse response H, given the knowledge of S is I Y ; H / S = h Y / S − h Y / H, S. (5).
The first one is by maximizing the mutual information between the random target impulse response and the reflected waveforms, and the second one is by minimizing the mean square error in estimating the target impulse response.
The target impulse response is very sensitive to target-radar orientation, and the initial phase of target echo is a function of target-radar distance, namely, the exact target impulse response cannot be obtained in transmission waveform design.
The second one is to minimize the mean square error in estimating the target impulse response.
Next, we discuss the statistics of the target impulse response h t [n], the clutter impulse response h c [n], and the noise z.
Assume the time duration of transmit waveforms N = 40 and the length of the target impulse response N t = 8.
The problem of radar waveform design under the scenario of target identification requires the estimation of target impulse response.
Specifically, we allow uncertainties for both the interference and target impulse responses.
The proposed control method is to apply an impulse by a space robot arm, to measure and control the relative position and attitude between the target spacecraft, and then to apply another impulse until the rotational motion of the target spacecraft is well damped.
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