基于勢函數(shù)的雙穩(wěn)隨機共振參數(shù)特性探究
發(fā)布時間:2018-07-26 08:22
【摘要】:雙穩(wěn)態(tài)隨機共振系統(tǒng)模型在微弱信號檢測方面具有很好的應用特性,為微弱信號的檢測提供了新的思路。如何用更簡單的方法突破近似絕熱條件的限制,使其應用于高頻信號檢測,是近些年來的研究熱點。分析勢函數(shù)的形狀特征對系統(tǒng)輸出信噪比影響的基礎上,研究了系統(tǒng)從雙穩(wěn)狀態(tài)(AAc)到失穩(wěn)(A≥Ac),再到單穩(wěn)狀態(tài)(a=0或b=0)過程中,系統(tǒng)輸出特性的變化規(guī)律。提出了一種基于勢函數(shù)的參數(shù)調(diào)節(jié)方法,通過對系統(tǒng)參數(shù)加以控制,可以在不影響系統(tǒng)最佳輸出信噪比的情況下,將可調(diào)參量降為1個,減少參數(shù)調(diào)節(jié)的工作量。經(jīng)過仿真和實驗采集數(shù)據(jù)驗證,該方法簡單易行,具有一定的應用價值。
[Abstract]:The bistable stochastic resonance system model has good application characteristics in weak signal detection and provides a new idea for weak signal detection. How to break through the limitation of approximate adiabatic condition and apply it to high frequency signal detection is a hot topic in recent years. Based on the analysis of the effect of the shape characteristics of potential function on the output SNR of the system, the variation of the output characteristics of the system from bistable state (AAc) to unstable state (A 鈮,
本文編號:2145424
[Abstract]:The bistable stochastic resonance system model has good application characteristics in weak signal detection and provides a new idea for weak signal detection. How to break through the limitation of approximate adiabatic condition and apply it to high frequency signal detection is a hot topic in recent years. Based on the analysis of the effect of the shape characteristics of potential function on the output SNR of the system, the variation of the output characteristics of the system from bistable state (AAc) to unstable state (A 鈮,
本文編號:2145424
本文鏈接:http://sikaile.net/kejilunwen/lxlw/2145424.html
最近更新
教材專著