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GNSS_SDR

于 2010-04-26 发布文件大小:79KB

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下载积分: 1 下载次数: 2

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代码说明：

说明： GPS软接收机.包括：捕获，跟踪，伪距计算，位置解算等等。(GNSS SDR)

文件列表：

GNSS_SDR\acquisition.m
GNSS_SDR\calculatePseudoranges.m
GNSS_SDR\findPreambles.m
GNSS_SDR\geoFunctions\cart2geo.m
GNSS_SDR\geoFunctions\cart2utm.m
GNSS_SDR\geoFunctions\check_t.m
GNSS_SDR\geoFunctions\clksin.m
GNSS_SDR\geoFunctions\clsin.m
GNSS_SDR\geoFunctions\e_r_corr.m
GNSS_SDR\geoFunctions\findUtmZone.m
GNSS_SDR\geoFunctions\geo2cart.m
GNSS_SDR\geoFunctions\leastSquarePos.m
GNSS_SDR\geoFunctions\satpos.m
GNSS_SDR\geoFunctions\togeod.m
GNSS_SDR\geoFunctions\topocent.m
GNSS_SDR\geoFunctions\tropo.m
GNSS_SDR\include\calcLoopCoef.m
GNSS_SDR\include\checkPhase.m
GNSS_SDR\include\ephemeris.m
GNSS_SDR\include\generateCAcode.m
GNSS_SDR\include\invert.m
GNSS_SDR\include\makeCaTable.m
GNSS_SDR\include\navPartyChk.m
GNSS_SDR\include\preRun.m
GNSS_SDR\include\showChannelStatus.m
GNSS_SDR\include\skyPlot.m
GNSS_SDR\include\twosComp2dec.m
GNSS_SDR\init.m
GNSS_SDR\initSettings.m
GNSS_SDR\license.txt
GNSS_SDR\plotAcquisition.m
GNSS_SDR\plotNavigation.m
GNSS_SDR\plotTracking.m
GNSS_SDR\postNavigation.m
GNSS_SDR\postProcessing.m
GNSS_SDR\probeData.m
GNSS_SDR\setSettings.fig
GNSS_SDR\setSettings.m
GNSS_SDR\tracking.m
GNSS_SDR\geoFunctions
GNSS_SDR\include
GNSS_SDR

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fwdmalawmc
Abstract—In this paper, we study the joint estimation of inphase and quadrature-phase (I/Q) imbalance, carrier frequency offset (CFO), and channel response for multiple-input multipleoutput (MIMO) orthogonal frequency division multiplexing (OFDM) systems using training sequences. A new concept called channel residual energy (CRE) is introduced. We show that by minimizing the CRE, we can jointly estimate the I/Q imbalance and CFO without knowing the channel response. The proposed method needs only one OFDM block for training and the training symbols can be arbitrary. Moreover when the training block consists of two repeated sequences, a low complexity two-step approach is proposed to solve the joint estimation problem. Simulation results show that the mean-squared error (MSE) of the proposed method is close to the Cramer-Rao bound (CRB). Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel estimation.

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