计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
5期
221-226
,共6页
随机共振%多频弱信号%最小频带间隔%噪声
隨機共振%多頻弱信號%最小頻帶間隔%譟聲
수궤공진%다빈약신호%최소빈대간격%조성
stochastic resonance%multi-frequency weak signal%minimum frequency band interval%noise
针对利用非线性双稳系统随机共振逐一检测多个频率弱信号存在效率低、无法满足信号实时处理要求的问题,研究了基于随机共振的多频弱信号同时检测方法。首先建立了同时检测多频弱信号的仿真模型,通过调节双稳态随机共振系统参数、噪声强度,将在单个低频弱信号上产生的随机共振效应扩展到多个低频弱信号上,实现了多个低频弱信号的同时检测,分析了检测结果所呈现出的特点、原因。进一步研究了多频弱信号同时检测时不同频率信号之间的最小频带间隔问题。采用参数补偿的方法将其扩展应用到高频弱信号的检测中,实现了多个高频弱信号的检测。仿真结果表明该方法是可行的,能有效提高信号检测的速度及效率。
針對利用非線性雙穩繫統隨機共振逐一檢測多箇頻率弱信號存在效率低、無法滿足信號實時處理要求的問題,研究瞭基于隨機共振的多頻弱信號同時檢測方法。首先建立瞭同時檢測多頻弱信號的倣真模型,通過調節雙穩態隨機共振繫統參數、譟聲彊度,將在單箇低頻弱信號上產生的隨機共振效應擴展到多箇低頻弱信號上,實現瞭多箇低頻弱信號的同時檢測,分析瞭檢測結果所呈現齣的特點、原因。進一步研究瞭多頻弱信號同時檢測時不同頻率信號之間的最小頻帶間隔問題。採用參數補償的方法將其擴展應用到高頻弱信號的檢測中,實現瞭多箇高頻弱信號的檢測。倣真結果錶明該方法是可行的,能有效提高信號檢測的速度及效率。
침대이용비선성쌍은계통수궤공진축일검측다개빈솔약신호존재효솔저、무법만족신호실시처리요구적문제,연구료기우수궤공진적다빈약신호동시검측방법。수선건립료동시검측다빈약신호적방진모형,통과조절쌍은태수궤공진계통삼수、조성강도,장재단개저빈약신호상산생적수궤공진효응확전도다개저빈약신호상,실현료다개저빈약신호적동시검측,분석료검측결과소정현출적특점、원인。진일보연구료다빈약신호동시검측시불동빈솔신호지간적최소빈대간격문제。채용삼수보상적방법장기확전응용도고빈약신호적검측중,실현료다개고빈약신호적검측。방진결과표명해방법시가행적,능유효제고신호검측적속도급효솔。
Aiming at the question that low efficiency and unable to meet the requirements of real-time signal processing, which uses stochastic resonance of non-liner bistable system one by one to detect multi-frequency weak signals, the multi-frequency weak signals detection at the same time is studied. The multi-frequency weak signals detection simulation model based on stochastic resonance principle is built, and the stochastic resonance effect of single-frequency weak signal is expanded to multi-frequency weak signal detection by adjusting the parameters of the system and noise intensity, the multi-frequency weak signals detection is realized simultaneously, and the characteristics and the causes of the test results are analyzed. The minimum frequency band interval between different frequency signals is researched. The system is applied to higher frequency weak signal detection by the parameter compensation method, and realizes multiple higher frequency weak signals detection. The simulation results show that this method is feasible, which can effectively improve the detec-tion speed and efficiency.