nlpt_server

说明：  基于MATLAB语言实现了BPSK、QPSK和QAM在数字通信中的误码率性能，并与理论性能进行了比较。实现了两个发射天线的分集，分析了分集提高误码率性能的原因和实质。(Based on MATLAB language, the BER performance of BPSK, QPSK and QAM in digital communication is realized and compared with the theoretical performance. The diversity of two transmit antennas is realized, and the reason and essence of diversity improving BER performance are analyzed.)

使用串口采集温度数据，并实时显示温度数据(Serial collected temperature data)

MPSK信号调制方式识别仿真，可产生B，4，8PSK信号加噪声进行仿真，学习信号分析的可以参考(MPSK modulation signal recognition simulation, can generate B, 4,8 PSK signal plus noise simulation, the study of signal analysis can refer to)

Rappaport_Wireless Communication Technologies Text Book Rappaport_Wireless Communication Technologies Text Book

说明：  G P S和G S M 双定位终端的软硬件设计与实现 :随着移动定位技术的发展， 单纯的签子G P S 的定位终端或者荃于移动网络的定位终端都将无法浦足用户的俩求。前者的G P S定 位信号受地形及建筑物的影晌，会存在定位盲区 后者定位精度和定位能力受到移动网 络的限制。该文提出一种集成了G P S定位和G S M 网络定位技术的定位终端，阐述了它的软硬件的设计和实现。实验结果表明，该定位终端结合了G P S和G S M网络两种定位方式的优点，(D e s i g n a n d I m p l e me n t a t i o n o f t h e T r a c k i n g T e r mi n a l I n t e g r a t i n g GP S wi t h GS M P o s i t i o n i n g T e c h n o l o g y J I A NG X i r u i , C HE N G Z h e n l i n , F AN G J i n y u n , Z HA NG L i v n g ( I n s t i t u t e o f C o m p u t e T e c h n o l o g y , C h i n e s e A c a d e m y o f S c i e n c e s , B e i j i n g 1 0 0 0 8 0 ) b s t r a c t ] Th e t r a c k i n g t e r mi n a l p l a y s a n i mp o r a n t rl e i n t h e n a v i g a t i o n a n d p o s i t i o n i n g s y s t e m. Ho w t o t h e t r a c k i n g t e r mi n a l i s a k e y p rb l e m t o t h e d e s i g n e r a n d u s e r . T h i s p a p e r p r e s e n t s a me t h o d wh i c h i mpr v e t i n t e g r a t e s p e r f o r m a n c e a n d p r e c i s i o GP S wi 比GS M p o s i t i o n i n g h n o l o g y i n o n e t e r mi n a l , a n d s p e c i f i e s t h e s o f)

文档中介绍首先介绍了多用户MIMO模型，以及LTE中的多用户MIMO方案，通过仿真分析总结出当用户数较少时，在高信噪比条件下，ZF方案的系统吞吐量性能明显优于PU2RC方案。(Document describes first introduced a model of a multi-user MIMO, and LTE multi-user MIMO scheme, by simulation analysis summed up when the number of users is small, at high SNR conditions, the system throughput performance of the ZF program superior PU2RC program.)

siso信道模型，用于建立基础的点对点信道(SISO channel Model)

bcjr算法 map形式 适用于卷积码和turbo码(bcjr algorithm map form for convolutional codes and turbo codes)

说明：  第一次作业_基于分类算法的雷达状态识别 对于本数据集中的雷达状态识别，数据降维前使用朴素贝叶斯、支持向量机、神经网络的分类算法对于识别的准确率无太大影响；数据降维后使用神经网络算法最优，支持向量机算法其次，朴素贝叶斯算法较差。此外，训练样本越多，分类准确率有小幅度提高。(First Operation Radar State Recognition Based on Classification Algorithms For radar state recognition in this data set, the classification algorithm of Naive Bayesian, Support Vector Machine and Neural Network before data dimension reduction has little effect on the accuracy of recognition; Neural Network algorithm is the best after data dimension reduction, Support Vector Machine algorithm is the second, Naive Bayesian algorithm is the worst. In addition, the more training samples, the smaller the classification accuracy.)

说明：  High Definition Multimedia Specification Version 2.0