本文選題：聯(lián)合檢測(cè) + 小波變換�。� 參考：《北京郵電大學(xué)學(xué)報(bào)》2017年04期

【摘要】：傳統(tǒng)的能量感知算法對(duì)噪聲比較敏感,在較低的信噪比條件下檢測(cè)準(zhǔn)確性易受到影響,循環(huán)特征檢測(cè)法計(jì)算復(fù)雜度偏高,為此提出了基于能量檢測(cè)和小波變換(WT)感知的雙門(mén)限聯(lián)合檢測(cè)算法.該算法對(duì)雙門(mén)限區(qū)間以外的區(qū)域采用能量檢測(cè)進(jìn)行判定,雙門(mén)限范圍內(nèi)的不確定區(qū)域進(jìn)行小波感知,并根據(jù)信道中噪聲不確定性自適應(yīng)調(diào)整雙門(mén)限值,當(dāng)信道質(zhì)量較好時(shí),減小兩門(mén)限之間的距離,否則增大兩門(mén)限之間的距離,從而控制進(jìn)行小波感知的概率.仿真結(jié)果表明,此算法有效地提高了低信噪比條件下系統(tǒng)的檢測(cè)性能,降低了算法的復(fù)雜度.
[Abstract]:The traditional energy sensing algorithm is sensitive to noise, and the accuracy of detection is easy to be affected under the condition of low signal-to-noise ratio, and the computational complexity of cyclic feature detection is on the high side.A dual threshold joint detection algorithm based on energy detection and wavelet transform WT-sensing is proposed.In this algorithm, energy detection is used to determine the region outside the double threshold, and the uncertain region in the range of double threshold is sensed by wavelet, and the double threshold value is adjusted adaptively according to the noise uncertainty in the channel. When the channel quality is better,The distance between the two thresholds is reduced or the distance between the two thresholds is increased to control the probability of wavelet sensing.The simulation results show that the proposed algorithm can effectively improve the detection performance and reduce the complexity of the system under the condition of low signal-to-noise ratio (SNR).
【作者單位】： 北京郵電大學(xué)電子工程學(xué)院;河南理工大學(xué)計(jì)算機(jī)科學(xué)與技術(shù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(60872149) 河南省科技攻關(guān)項(xiàng)目(172102210023)
【分類(lèi)號(hào)】：TN925

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