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This time, prelaunch survivability was to be achieved by mobile ICBMs that would confound an attacker with multiple moving targets.
However, they may generate cross-terms, particularly in the presence of multiple moving targets.
This paper presents a robust approach to detect multiple moving targets from aerial infrared (IR) image sequences.
The signals captured by both sensors were independently processed by the procedure of through wall tracking of multiple moving targets [52].
The method renders a better performance in range sidelobe suppression for the detection of multiple moving targets using Golay complementary waveforms than the existing Binominal Design algorithm.
The observation of multiple moving targets by cooperating mobile robots is a key problem in many security, surveillance and service applications.
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In order to solve the outlined problem, several complementary approaches having the potential to improve multiple moving target tracking in comparison with that of standard methods have been discussed.
In order to achieve the wave packet tracking, a new performance index is introduced with multiple moving target wave packets, each of which evolves under the field-free condition and satisfies intermediate/final conditions associated to the tracking point.
In the following, therefore, we consider the estimation of motion parameters of multiple ground moving targets considering an imperfect knowledge of the initial positions of the targets.
In this section, we analyze the motion parameter estimation of multiple ground moving targets in the given multi-static passive network configuration using the time-frequency analysis and group sparsity-based signal reconstruction method.
The state of the art for estimating motion parameters of closely spaced multiple ground moving targets in typical MPR systems is incomplete, because of the rather non-trivial two issues: 1.
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