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In this paper, we propose an integrated scheme to identify an extended moving target while trying to correctly locate its peak range-Doppler cell. The scheme is extended to handle multiple target responses. The cognitive radar platform uses adaptive waveform based on the eigenwaveform. Two real-time adaptive waveforms called maximum a posteriori probability weighted eigenwaveform (MAP-PWE) and match-filtered...
We propose an improvement to the maximum a posteriori probability weighted eigenwaveform (MAP-PWE) adaptive waveform design used in target recognition with a cognitive radar platform for which we call match-filtered PWE (MF-PWE). Our interest however is to include moving targets in the identification problem. Combining range-Doppler map (RDM) technique with the the PWE-based adaptive waveform techniques,...
In this paper, we investigate spectrally adaptive radar transmit waveform design and its effects on an active communication system. We specifically look at waveform design for point targets. The transmit waveform is optimized by accounting for the modulation spectrum of the communication system while trying to efficiently use the remaining spectrum. With the use of spectrally-matched radar waveform,...
Depending on the radar-target dynamics, the time extent and amplitude of a moving extended target from a radar's perspective may actually change as a function of relative motion. It follows that waveform design should accommodate for the increase or decrease of a target's time extent and changes in amplitude as the target moves towards or away from a radar or vice versa. This paper shows the performance...
In this paper, we introduce the concept of a Cognitive Radar Network (CRN). The goal of the radar platforms in a CRN is to cooperate in illuminating the radar channel in an efficient manner in an effort to search for moving targets. Moreover, when a detection is declared, the CRN should incorporate the tracking requirement into the illumination strategy. That is, the beamsteering strategy must exploit...
Cognitive radar (CR) is a recently proposed concept that depicts the radar channel in a probabilistic manner. In a multiplatform or networked radar system, some parameters or dimensions of interest are visible (i.e., resolvable) to one radar and not to others depending on the geometry of the scenario. For a radar with new measurements, Bayesian methods to update the cell ensemble probabilities in...
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