An enhanced p -norm energy detector for coherent multilook detection in X-band maritime surveillance radar

Weinberg, Graham V.

doi:10.1016/j.dsp.2016.01.001

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…To reduce the influence of randomness on the accuracy of parameters, n-γ discrimination spectra are filtered by the Butterworth window filter and phasecorrected before obtaining these parameters [16]; otherwise, the n-γ discrimination spectra are bimodal fitted by a Gaussian function [17] to get the error probability [18] and FOM2.…”

Section: Parametric Analysismentioning

confidence: 99%

Improvement of algorithms for digital real-time n- γ discrimination

王宋¹,

许鹏²,

鲁昌兵³

et al. 2016

Chinese Phys. C

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Three algorithms (the Charge Comparison Method, n-γ Model Analysis and the Centroid Algorithm) have been revised to improve their accuracy and broaden the scope of applications to real-time digital n-γ discrimination. To evaluate the feasibility of the revised algorithms, a comparison between the improved and original versions of each is presented. To select an optimal real-time discrimination algorithm from these six algorithms (improved and original), the figure-of-merit (FOM), Peak-Threshold Ratio (PTR), Error Probability (EP) and Simulation Time (ST) for each were calculated to obtain a quantitatively comprehensive assessment of their performance. The results demonstrate that the improved algorithms have a higher accuracy, with an average improvement of 10% in FOM, 95% in PTR and 25% in EP, but all the STs are increased. Finally, the Adjustable Centroid Algorithm (ACA) is selected as the optimal algorithm for real-time digital n-γ discrimination.

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Section: Parametric Analysismentioning

confidence: 99%