Robust target identification in white Gaussian noise for ultrawide-band radar systems
Mooney, J.E.; Zhi Ding; Riggs, L.S.
Antennas and Propagation, IEEE Transactions on
Volume 46, Issue 12, Dec 1998 Page(s):1817 - 1823
Digital Object Identifier 10.1109/8.743818
Summary:Radar target identification, as witnessed by the plethora of the
literature on the topic, is an important problem of considerable
interest to many civilian and military agencies. The number of
signatures even for a small target library can become quite large since,
in general, a unique return is produced for each new target aspect. Any
robust target identification algorithm must adequately address this
issue. The extinction pulse (E-pulse) and other related techniques,
which are based on a singularity expansion method description of the
radar return, indeed boast an aspect independent identification
algorithm. However, as demonstrated in this paper, the performance of
these techniques in white Gaussian noise is inferior to the method
described here. In this paper, we develop a new method based on a
generalized likelihood ratio test (GLRT) to perform target
identification in the presence of white Gaussian noise. As with the
E-pulse technique, our method takes advantage of the parsimonious
singularity expansion representation of the radar return. In addition,
sufficient statistics and simple practical implementations of a GLRT are
presented. Simulation results using various thin wire targets are
presented contrasting the performance of the GLRT to the E-pulse
technique as a function of signal-to-noise (SNR) ratio
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