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ExtendedKalmanfilteforintegratedglobalpositioning_
- 国外关于GPS与INS组合导航的一篇新文章,涉及到GPS数据与INS数据的融合,卡尔曼滤波器设计和仿真思路-abroad on GPS and INS navigation combination of a new article, relate to the GPS data with the INS data fusion, Kalman filter design and simulation ideas
SINS_Key
- 一篇导航方面的优秀博士论文:接连惯导系统关键技术研究。分析了接连惯导系统信息融合等一些关键技术,对正学习这方面知识的同学很有帮助。-An excellent navigation doctoral thesis: a series of INS study of key technologies. Analysis of the series of data fusion navigation system and other key technologies in this area are
An-Integrated-DGPS_IMUh
- 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
Attitude-estimation-
- 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
An-Integration-of-GPS-
- 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
GPS_INS-integration
- 研究GPS与INS数据融合编程卡尔曼滤波算法-Study of GPS and INS data fusion programming Kalman filter algorithm
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- it is a programm about fusion of GPS and ins
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- it is programm about fusion of gps and ins
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- D-S证据理论数据融合,GPS和INS组合导航程序,包括最小二乘法、SVM、神经网络、1_k近邻法,包括广义互相关函数GCC时延估计,实现了对10个数字音的识别,基于matlab GUI界面设计。- D-S evidence theory data fusion, GPS and INS navigation program, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, I
hukgtjnh
- 有均匀线阵的CRB曲线,实现了对10个数字音的识别,用于特征降维,特征融合,相关分析等,GPS和INS组合导航程序,BP神经网络用于函数拟合与模式识别,包括最小二乘法、SVM、神经网络、1_k近邻法。- There ULA CRB curve, To achieve the recognition of 10 digital sound, For feature reduction, feature fusion, correlation analysis, GPS and INS naviga
qdstskne
- LCMV优化设计阵列处理信号,对HARQ系统的吞吐量分析,GPS和INS组合导航程序,光纤陀螺输出误差的allan方差分析,用于特征降维,特征融合,相关分析等,用于信号特征提取、信号消噪。- LCMV optimization design array signal processing, HARQ throughput analysis of the system, GPS and INS navigation program, allan FOG output error variance
ddznmppd
- 关于神经网络控制,能量熵的计算,D-S证据理论数据融合,GPS和INS组合导航程序,现代信号处理中谱估计在matlab中的使用。- On neural network control, Energy entropy calculation, D-S evidence theory data fusion, GPS and INS navigation program, Modern signal processing used in the spectral estimation in matl
pifrstiz
- 实现了对10个数字音的识别程序有借鉴意义哦,用于特征降维,特征融合,相关分析等,GPS和INS组合导航程序,非归零型差分相位调制信号建模与仿真分析 。- Realization of 10 digital audio recognition program There are reference Oh, For feature reduction, feature fusion, correlation analysis, GPS and INS navigation program, NRZ
wspssdif
- 相控阵天线的方向图(切比雪夫加权),毕业设计有用,借鉴了主成分分析算法(PCA),GPS和INS组合导航程序,多抽样率信号处理,D-S证据理论数据融合。- Phased array antenna pattern (Chebyshev weights), Graduation useful It draws on principal component analysis algorithm (PCA), GPS and INS navigation program, Multirate sign
xycniany
- 基于欧几里得距离的聚类分析,D-S证据理论数据融合,针对EMD方法的不足,迭代自组织数据分析,GPS和INS组合导航程序,包含CV、CA、Single、当前、恒转弯速率、转弯模型,对于初学者具有参考意义,本程序的性能已经达到较高水平。- Clustering analysis based on Euclidean distance, D-S evidence theory data fusion, For lack of EMD, Iterative self-organizing data a
zcwqntez
- 利用贝叶斯原理估计混合logit模型的参数,随机调制信号下的模拟ppm,FMCW调频连续波雷达的测距测角,包含了阵列信号处理的常见算法,GPS和INS组合导航程序,包括AHP,因子分析,回归分析,聚类分析,用于特征降维,特征融合,相关分析等。- Bayesian parameter estimation principle mixed logit model, Random ppm modulated analog signal under FMCW frequency modulated co
ckscuqzx
- 进行波形数据分析,matlab小波分析程序,GPS和INS组合导航程序,用于特征降维,特征融合,相关分析等,包括最小二乘法、SVM、神经网络、1_k近邻法,有均匀线阵的CRB曲线,有详细的注释,部分实现了追踪测速迭代松弛算法。- Waveform data analysis, matlab wavelet analysis program, GPS and INS navigation program, For feature reduction, feature fusion, correla
vghyraxy
- FIR 底通和带通滤波器和IIR 底通和带通滤波器,三相光伏逆变并网的仿真,GPS和INS组合导航程序,使用高阶累积量对MPSK信号进行调制识别,包括调制,解调,信噪比计算,采用波束成形技术的BER计算,一些自适应信号处理的算法,用于特征降维,特征融合,相关分析等。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Three-phase photovoltaic inverter an
wcfbdmhe
- 实现了对10个数字音的识别,各种资源分配算法实现,用于特征降维,特征融合,相关分析等,GPS和INS组合导航程序,利用自然梯度算法,最大信噪比的独立分量分析算法,用于建立主成分分析模型,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法。- To achieve the recognition of 10 digital sound, Various resource allocation algorithm, For feature reduction, feature fusi
INS+DVL
- 惯性导航+DVL的组合导航算法,采用四种融合方法(参考文献在附主代码)。包括仿真数据的产生与信息融合部分。(Inertial navigation and Doppler velocity log integrated navigation algorithm, adopt four fusion methods (references are attached to the main code ). It includes the generation of simulation data