Weak Signal Detection Method Based on Dominative Frequency PowerRatio Derived from Systems First-order Perturbation Solution
Funds:
The National Natural Science Foundation of China (41476089)
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摘要: 針對現(xiàn)有混沌檢測算法精度不高、狀態(tài)響應(yīng)滯后的問題,該文從混沌狀態(tài)整體性、系統(tǒng)解頻域特性等角度進(jìn)行全面分析,提出一種基于攝動(dòng)解主頻功率比的弱信號檢測方法,該算法不僅準(zhǔn)確實(shí)現(xiàn)了臨界狀態(tài)的有效界定,提高了信號檢測的可靠程度,而且揭示了系統(tǒng)各個(gè)狀態(tài)之間的差別及物理含義。文中采用參數(shù)攝動(dòng)法推導(dǎo)了Duffing-Van der pol振子的一階攝動(dòng)平衡解,證明了其為影響主頻率分量的主要因素。在此基礎(chǔ)上,采用經(jīng)驗(yàn)?zāi)B(tài)分解方法對有效參量信息進(jìn)行選擇性重構(gòu),以最小均方誤差約束準(zhǔn)則下的比值系數(shù)重新定義了系統(tǒng)狀態(tài),得到系統(tǒng)主頻功率比與策動(dòng)力幅值之間的映射關(guān)系,并以此作為臨界閾值確定的依據(jù)。實(shí)驗(yàn)結(jié)果表明,采用主頻功率比準(zhǔn)則的信號檢測方法可靠性提高了約1個(gè)數(shù)量級,且算法的響應(yīng)速度為傳統(tǒng)分析方法的2倍以上。
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關(guān)鍵詞:
- 信號處理 /
- 一階攝動(dòng)平衡 /
- 主頻功率比 /
- 臨界閾值 /
- 最小均方誤差
Abstract: Traditional chaotic detection methods have many problems, such as low criterion accuracy and delay state response. To cope with these problems, a weak signal detection method based on dominative frequency power ratio derived from systems first-order perturbation solution is proposed in this paper. This algorithm is ascribable to the all-around analyses of chaotic states global property and system solutions frequency-domain characteristics. It not only gives an effective and accurate critical threshold which could offer more reliable guarantee for signal detection, but also disclosures the differences between system states and the coherent physical meanings. The first-order perturbation equilibrium solution of Duffing-Van der pol oscillator is derived with parameter perturbation method, and it is proved that this solutionis is most significant to the dominative frequency. And then, the effective signal is selectively reconstructed through empirical mode decomposition, and system state is redefined with this ratio restrained under MMSE criterion. Finally the mapping relationship between power ratio of dominative frequencies and driving motivation amplitude is obtained and it is considered as determination criterion of critical threshold. Experimental results show that this algorithm could bring an promotion about one order of magnitude in system reliability, and the response speed is at least doubled compared with traditional methods. -
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