2001
DOI: 10.1049/ip-rsn:20010324
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Enhanced target detection and identification via optimised radar transmission pulse shape

Abstract: This paper investigates the optimization of both single and full polarization radar transmission waveforms to maximize target identification discrimination. This theory is applied to the discrimination of the T-72 and Ml battle tanks based upon simulated target frequency response data. Significant performance improvement in identification is obtained using an optimized transmission waveform over that of a standard chirped pulse. generated using the Fast Illinois Solver Code Q^ISC) that applies a method-of-mome… Show more

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Cited by 115 publications
(77 citation statements)
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“…In [3], [12]- [15], [23], and [27], the classical concept of matched filtering was further developed to address the joint design of optimum waveforms and receive processing for target detection and classification applications. In [3], [12], [13], and [23], methods of waveform/receiver design have been developed for target detection based on maximizing the signal-to-noise or signal-to-interference ratios.…”
Section: Related Workmentioning
confidence: 99%
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“…In [3], [12]- [15], [23], and [27], the classical concept of matched filtering was further developed to address the joint design of optimum waveforms and receive processing for target detection and classification applications. In [3], [12], [13], and [23], methods of waveform/receiver design have been developed for target detection based on maximizing the signal-to-noise or signal-to-interference ratios.…”
Section: Related Workmentioning
confidence: 99%
“…In [3], [12], [13], and [23], methods of waveform/receiver design have been developed for target detection based on maximizing the signal-to-noise or signal-to-interference ratios. These studies assume that the target is range-only extended target and the impulse response function of the target is known and deterministic.…”
Section: Related Workmentioning
confidence: 99%
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“…Similar to the first approach, matched filtering is used as a foundation for joint design of waveforms and receive processing for target detection, identification and classification. [11][12][13][14][15] For target detection, the waveforms are designed by maximizing the signal-to-noise or signal-to-interference ratios.…”
Section: Introductionmentioning
confidence: 99%