本文選題：認(rèn)知無(wú)線電　切入點(diǎn)：參數(shù)估計(jì)　出處：《西安電子科技大學(xué)學(xué)報(bào)》2017年06期

【摘要】：針對(duì)在低信噪比環(huán)境,underlay頻譜共享方式下時(shí)頻重疊信號(hào)的信號(hào)分量個(gè)數(shù)估計(jì)性能低的問(wèn)題,提出了一種時(shí)頻重疊信號(hào)的信號(hào)分量個(gè)數(shù)的估計(jì)新方法.該方法首先利用動(dòng)態(tài)延時(shí)構(gòu)造出虛擬陣列信號(hào),然后利用噪聲奇異值變化不大的特點(diǎn)構(gòu)造特征量和估計(jì)準(zhǔn)則,從而估計(jì)出underlay頻譜共享方式下時(shí)頻重疊信號(hào)的信號(hào)分量個(gè)數(shù).仿真結(jié)果表明,所提方法在低信噪比和高頻譜重疊率條件下,比現(xiàn)有方法的估計(jì)性能更好.
[Abstract]:Aiming at the problem of low performance of estimating the number of signal components of time-frequency overlapped signals in low signal-to-noise ratio (SNR) environment, In this paper, a new method for estimating the number of signal components of time-frequency overlapping signals is proposed. Firstly, a virtual array signal is constructed by using dynamic delay, and then a characteristic quantity and an estimation criterion are constructed by using the feature that the singular value of noise changes little. The simulation results show that the proposed method has better estimation performance than the existing methods under the condition of low SNR and high spectral overlap rate.
【作者單位】： 西安電子科技大學(xué)信息感知技術(shù)協(xié)同創(chuàng)新中心;南京理工大學(xué)電子工程與光電技術(shù)學(xué)院;徐州雷奧醫(yī)療設(shè)備有限公司;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(61501348,61271299) 國(guó)家博士后科學(xué)基金資助項(xiàng)目(2017M611912) 陜西省自然科學(xué)基礎(chǔ)研究計(jì)劃資助項(xiàng)目(2016JQ6039) 江蘇省博士后科研資助項(xiàng)目(1701059B) 高等學(xué)校學(xué)科創(chuàng)新引智計(jì)劃資助項(xiàng)目(B08038)
【分類(lèi)號(hào)】：TN911.7
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本文編號(hào)：1683485