东南大学学报(自然科学版)
東南大學學報(自然科學版)
동남대학학보(자연과학판)
JOURNAL OF SOUTHEAST UNIVERSITY
2009年
5期
941-945
,共5页
祝雪芬%陈熙源%涂刚毅%李滋刚
祝雪芬%陳熙源%塗剛毅%李滋剛
축설분%진희원%도강의%리자강
伽利略E1-BOC%高灵敏度%能量捕获%性能分析
伽利略E1-BOC%高靈敏度%能量捕穫%性能分析
가리략E1-BOC%고령민도%능량포획%성능분석
Galileo El-BOC%high-sensitivity%energy-based acquisition%performance analysis
在时域并行FFT捕获算法的基础上,采用在频率搜索维上基于能量搜索的策略对伽利略E1-Boc信号的捕获进行了仿真和实验分析.在伽利略仿真信号的码延迟时间为1.8 ms,多普勒频移为600 Hz,导航电文调制速率为250 bit/s,数值为±1的情况下分别从捕获率、ROC操作特性曲线以及计算复杂性3方面对能量捕获算法性能进行了验证,并与AV, Zero-Padding两种算法进行了比较.结果表明,能量捕获算法在载噪比为32 dB/Hz的室内微弱信号环境下,捕获率能达到90%,且ROC操作特性曲线和计算复杂性等综合性能均优于AV,Zero-Padding两种算法,适用于数据跳变发生频繁的微弱伽利略E1-BOC信号的捕获.
在時域併行FFT捕穫算法的基礎上,採用在頻率搜索維上基于能量搜索的策略對伽利略E1-Boc信號的捕穫進行瞭倣真和實驗分析.在伽利略倣真信號的碼延遲時間為1.8 ms,多普勒頻移為600 Hz,導航電文調製速率為250 bit/s,數值為±1的情況下分彆從捕穫率、ROC操作特性麯線以及計算複雜性3方麵對能量捕穫算法性能進行瞭驗證,併與AV, Zero-Padding兩種算法進行瞭比較.結果錶明,能量捕穫算法在載譟比為32 dB/Hz的室內微弱信號環境下,捕穫率能達到90%,且ROC操作特性麯線和計算複雜性等綜閤性能均優于AV,Zero-Padding兩種算法,適用于數據跳變髮生頻繁的微弱伽利略E1-BOC信號的捕穫.
재시역병행FFT포획산법적기출상,채용재빈솔수색유상기우능량수색적책략대가리략E1-Boc신호적포획진행료방진화실험분석.재가리략방진신호적마연지시간위1.8 ms,다보륵빈이위600 Hz,도항전문조제속솔위250 bit/s,수치위±1적정황하분별종포획솔、ROC조작특성곡선이급계산복잡성3방면대능량포획산법성능진행료험증,병여AV, Zero-Padding량충산법진행료비교.결과표명,능량포획산법재재조비위32 dB/Hz적실내미약신호배경하,포획솔능체도90%,차ROC조작특성곡선화계산복잡성등종합성능균우우AV,Zero-Padding량충산법,괄용우수거도변발생빈번적미약가리략E1-BOC신호적포획.
An energy-based acquisition method, with some modifications on frequency search space based on the time domain fast Fourier transform (FFT) parallel acquisition method, is proposed for Galileo El-BOC signal. Performance analysis for this new acquisition algorithm is validated by simulation on Galileo El signals from the points of detection probability, ROC (receiver operating characteristic) operation characters curve and computational complexity. The simulation parameters are chosen like these:code delay time is equal to 1. 8 ms, Doppler frequency shift is equal to 600 Hz, navigation data rate is equal to 250 bit/s and its value is ± 1. The result shows that this improved acquisition algorithm has a superior performance to the other two acquisition techniques (AV and Zero-Padding algorithms; , with a high detection probability of 90% in indoor environment where the carrier to noise ratio is 32 dB/Hz. The energy-based acquisition method is suitable for the weak Galileo El-BOC signals acquisition where the data transition happens frequently.