Clutter Suppression by Complex Weighting of Coherent Pulse Trains

Rummler, W. D.

doi:10.1109/taes.1966.4501963

Cited by 46 publications

(13 citation statements)

References 5 publications

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“…They include (1) the detection of a deterministic signal in additive white Gaussian noise, (2) the detection of a non-white Gaussian signal process in additive white Gaussian noise, (3) the moving target detection (MTD) algorithm for the detection of a deterministic signal in non-white Gaussian noise [60,61] and (4) the detection of a non-white Gaussian signal process in additive non-white Gaussian noise [62]. It is also shown [59] that this likelihood ratio contains the algorithm developed [63] for the detection of a deterministic signal in additive non-white Gaussian noise of unknown correlation statistics.…”

Section: B the Special Case Of Incoherent Integrationmentioning

confidence: 99%

A Parametric Detection Approach Using Multichannel Processes

Michels¹

1989

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Section: B the Special Case Of Incoherent Integrationmentioning

confidence: 99%

A Parametric Detection Approach Using Multichannel Processes

Michels¹

1989

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“…X accept H, a#O _P(Z 0 -I ) < X accept Ho. From (1) and (2) it is easily found that we may base our detection scheme on the statistic - [2'K-14 In L,(Z I) ]1/ -= ) Z|.…”

Section: Maximum-likelihood Ratio Filtermentioning

confidence: 99%

“…Actually, the linear processor, which yields the maximum signal-to-interference power ratio (SIR) for a given input clutter-to-noise power ratio p and for a known clutter distribution on the range-velocity plane relative to targets of interest, was considered by Rummler [2], and Stutt and Spafford [3]. Brennan and Reed [4] and Spafford [5] pointed out that the linear processor with maximum output SIR is also the maximum-likelihood ratio detector when the input interference is a Gaussian random process.…”

mentioning

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A Nonadaptive Processing of Radar Pulse Trains for Clutter Rejection

Mosca

1969

IEEE Trans. Aerosp. Electron. Syst.

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The problem of detecting coherent pulse trains with uniform amplitude in a clutter-plus-noise environment is considered. A radar processor for detecting targets moving radially with respect to the clutter is proposed. The minimum interpulse spacing of the transmitted signal is assumed long enough that returns are not received simultaneously from different ranges within a region of extended clutter, and the central frequency of the clutter power spectrum is postulated to be known. The processor is singled out as the linear filter, orthogonal to the clutter central frequency component, which yields the maximum ratio of peak signal power to average noise power. The filter can be implemented by slightly modifying the structure of the conventional matched filter. The performance of such a filter is compared with that achievable if full a priori knowledge of the input interference were available and with that of the conventional matched filter. This comparison is made on a signal-to-interference power ratio basis after assuming a transmitted signal consisting of equally spaced pulses and an interference characterized by an exponential covariance matrix.

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“…The quality of such extraction significantly depends from rangevelocity distribution of interfering reflections [1,2,3]. The problem of the mismatched filter and waveform design that maximizes the signal-to-noise-plus-clutter ratio at the receiver filter output has been formulated and addressed in [4], [5], [6], [7], [8], [9], [10], [11].…”

Section: Introductionmentioning

confidence: 99%