本文關(guān)鍵詞： Duffing振子 頻率調(diào)制 聯(lián)合去噪 差分　出處：《系統(tǒng)工程與電子技術(shù)》2014年10期 　論文類型：期刊論文

【摘要】：針對(duì)強(qiáng)噪聲背景中弱信號(hào)檢測(cè)問(wèn)題,在傳統(tǒng)檢測(cè)方法基礎(chǔ)上,提出了基于聯(lián)合去噪和頻率調(diào)制的微弱信號(hào)檢測(cè)方法。搭建自相關(guān)和小波閾值變換聯(lián)合去噪系統(tǒng),極大程度抑制了噪聲對(duì)檢測(cè)結(jié)果的不利影響。利用頻率可調(diào)標(biāo)準(zhǔn)信號(hào)調(diào)制待測(cè)信號(hào)頻率,使得被測(cè)信號(hào)與檢測(cè)系統(tǒng)策動(dòng)力信號(hào)的頻率差滿足檢測(cè)條件,打破了利用Duffing振子檢測(cè)系統(tǒng)只能檢測(cè)與系統(tǒng)策動(dòng)力頻率相近信號(hào)的限制。雙振子差分進(jìn)行混沌特性判別的方法更具直觀性,抗噪性能好,測(cè)量相對(duì)誤差被控制在5%以內(nèi);且系統(tǒng)具有很高的抗干擾性,檢測(cè)最低信噪比可達(dá)-41dB。仿真結(jié)果證明了該方法的可行性和有效性。
[Abstract]:Aiming at the problem of weak signal detection in strong noise background, a new weak signal detection method based on joint de-noising and frequency modulation is proposed based on traditional detection methods. A joint de-noising system based on autocorrelation and wavelet threshold transform is built. The frequency of the signal to be tested is modulated by the frequency adjustable standard signal, which makes the frequency difference between the measured signal and the dynamic signal of the detection system satisfy the detection condition. It breaks the limitation that the detection system of Duffing oscillator can only detect signals close to the frequency of the system's driving force. The method of distinguishing chaotic characteristics by using double oscillator difference is more intuitive, has good anti-noise performance, and the relative error of measurement is controlled within 5%. The system has high anti-jamming ability and the lowest signal-to-noise ratio (SNR) can reach -41 dB. The simulation results show that the proposed method is feasible and effective.
【作者單位】： 重慶郵電大學(xué)信號(hào)與信息處理重慶市重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金(61071196,61102131,61371164) 教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃項(xiàng)目(NCET-10-0927) 信號(hào)與信息處理重慶市市級(jí)重點(diǎn)實(shí)驗(yàn)室建設(shè)項(xiàng)目(CSTC2009CA2003) 重慶市杰出青年基金(CSTC2011jjjq40002) 重慶市自然科學(xué)基金(CSTC2012JJA40008) 重慶市教育委員會(huì)科研項(xiàng)目(KJ120525,KJ130524)資助課題
【分類號(hào)】：TN911.23

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本文編號(hào)：1494894