Adaptation of detection thresholds based on the results of multi-frame accumulation radar signals against the background of non-gaussian noise

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An algorithm for stabilizing the false alarm rate is proposed, based on the approximation of the probability distribution density of the decisive statistics counts during multi-frame accumulation against the background of noise described by the Rayleigh and Weibull distributions. It is shown that the proposed algorithm for stabilizing the false alarm rate is adaptive and invariant to the noise distribution law.

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作者简介

V. Koshelev

Ryazan State Radiotechnical University named after V.F. Utkin

Email: belokurov.v.a@rsreu.ru
俄罗斯联邦, Gagarin str., 59/1, Ryazan, 390005

V. Belokurov

Ryazan State Radiotechnical University named after V.F. Utkin

编辑信件的主要联系方式.
Email: belokurov.v.a@rsreu.ru
俄罗斯联邦, Gagarin str., 59/1, Ryazan, 390005

参考

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2. Fig. 1. Illustration of the issue of taking into account the target movement model between two adjacent surveys. The dotted line highlights the area of ​​possible transition of target parameters between the k-th and (k−1)-th surveys.

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3. Fig. 2. Formation of a “sliding” window based on reviews.

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4. Fig. 3. Structural diagram of the false alarm level stabilization block.

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5. Fig. 4. Dependences of the false alarm probability on the sample size M for the Rayleigh distribution at qдqАЗ=40 (a) and qдqАЗ=20 (b): K = 6 (1) and 4 (2); the dashed line is the specified value of the false alarm probability.

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6. Fig. 5. Dependences of the false alarm probability on the sample size M for the Weibull distribution with K = 6, qдqАЗ = 40: curve 1 – coefficients of scale 2.0 and shape 1.0, curve 2 – coefficients of scale 1.0 and shape 2.0.

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7. Fig. 6. Detection characteristics of the inter-review accumulation algorithm: curve 1 corresponds to the known algorithm for calculating the detection threshold [10], curve 2 – to the proposed algorithm.

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