一種新的二進(jìn)制偏移載波調(diào)制信號(hào)無模糊度捕獲算法
發(fā)布時(shí)間:2018-05-13 02:44
本文選題:BOC調(diào)制 + 多峰性。 參考:《中國慣性技術(shù)學(xué)報(bào)》2014年06期
【摘要】:二進(jìn)制偏移載波(BOC,Binary Offset Carrier)調(diào)制有效地解決了導(dǎo)航信號(hào)間的相互干擾,實(shí)現(xiàn)了頻譜資源的有效利用。針對(duì)BOC信號(hào)的自相關(guān)函數(shù)在±1碼片內(nèi)存在多個(gè)正負(fù)峰,易造成誤捕旁峰和漏捕信號(hào)的風(fēng)險(xiǎn),通過分析了BOC信號(hào)中單個(gè)碼片內(nèi)調(diào)制的矩形脈沖之間的周期延拓關(guān)系,確定一個(gè)基準(zhǔn)單元,將BOC信號(hào)可分離成基準(zhǔn)單元和基準(zhǔn)單元經(jīng)一系列周期延拓后相加,基于此實(shí)現(xiàn)BOC信號(hào)自相關(guān)函數(shù)的分離。根據(jù)對(duì)稱性,可重構(gòu)一個(gè)峰值較低單峰,基于產(chǎn)生的單峰與BOC信號(hào)自相關(guān)函數(shù)相乘即可消除多峰并提高中心主峰峰值。BOCs(2,1)、BOCs(3,2)和BOCc(2,1)信號(hào)仿真結(jié)果表明,該方法能完全消除信號(hào)的旁峰,適用于任意階數(shù)的正弦或余弦相位BOC信號(hào)的捕獲,而且保留了BOC信號(hào)窄相關(guān)峰特性,峰寬度為1/k個(gè)碼片。
[Abstract]:Binary offset carrier binary Offset Carrier modulation effectively solves the interference between navigation signals and realizes the efficient utilization of spectrum resources. In view of the fact that the autocorrelation function of BOC signal has many positive and negative peaks in 鹵1 chip, it is easy to cause the risk of false capture of sidelobe and leakage of the signal. The periodic continuation relationship between the rectangular pulses modulated in a single code chip in BOC signal is analyzed. A reference unit is determined and the BOC signal can be separated into a reference unit and a reference unit which are added after a series of periods. Based on this, the autocorrelation function of the BOC signal can be separated. According to symmetry, a low peak can be reconstructed. Based on the multiplying of the generated single peak with the autocorrelation function of BOC signal, the multi-peak can be eliminated and the central main peak value can be increased. The simulation results show that the method can eliminate the side peak of the signal completely. It is suitable for the acquisition of sinusoidal or cosine phase BOC signals of arbitrary order, and the narrow correlation peak characteristics of BOC signals are preserved, with a peak width of 1 / k code pieces.
【作者單位】: 華東交通大學(xué)信息工程學(xué)院;
【基金】:國家自然科學(xué)基金資助項(xiàng)目(61162015)
【分類號(hào)】:TN96.1
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本文編號(hào):1881325
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