cacfar

说明：  可以根据用户需要设计任意的模拟滤波器。只需填入截止频率、通频带等参数，该软件就可自动生成滤波器的电路图，以及各个元件的参数。(this software is very useful for designing filter ,you need only input the data ,then it can generate the circuit.)

This program simulates the bit-error-rate (BER) performance of OSTBC with L=4 antennas over the frequency flat Rayleigh block fading channel The code is developed for real orthogonal design, code rate 1/2 modulation- 16 QAM with gray coding resulting in 2 bits/sec/Hz.

BCJR 算法的matlab实现，经测试无误(matlab code of BCJR, tested without errors)

智能天线波束赋形算法研究,对天线中的波束形成算法分析的非常深入。(Smart antenna beamforming algorithm, in the antenna beam to form a very in-depth analysis of the algorithm.)

实现LTE系统级仿真，MIMO系统仿真，16QAM仿真(Implementare la simulazione a livello di sistema LTE)

Cooperative MIMO matlba source code

optimal coverage problem of wireless sensor network

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT， 上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模 块，并统括系统性能的仿真验证了系统设计的可靠性 (OFDM full version of the source code, including coding, modulation, IFFT, Upper and lower frequency, Gaussian channel model, FFT, PAPR suppression, a variety of synchronization, demodulation and decoding module, and system performance of the omnibus simulation verify the reliability of the system design)

SIGNAL DETECTION FOR SPECTRUM SENSING Spectrum sensing is a critical functionality in cognitive radio communications as it must be performed before allowing unlicensed users to access a vacant licensed band. Energy detector is also known as radiometer and it is most common method of spectrum sensing because of its low computational and implementation complexities. The coherent detector, also referred to as a matched filter, can improve detection performance if the primary transmitted signal, s, is deterministic and known a priori.

对当前通信信号中常用的数字调相信号BPSK、QPSK、1／4一QPSK、8PSK的调制识别问题，提出了一种基于信号差分高阶累积量的识剐算法。该算法分两个层次进行调制识别，首先利用信号的四阶累积量特征对BPSK、QPSK和{1／4一QPSK、8PSK}信号进行识别，然后再利用信号差分的四阶和八阶累积量特征对1/4-QPSK、8PSK信号进行识别。从理论上分析了的该算法的有效性，并通过计算机仿真验证了算法具有良好的性能。(A recognition algorithm based on differential high-order cumulant is proposed for the modulation recognition problems of BPSK, QPSK, 1/4-QPSK and 8PSK, which are commonly used in current communication signals. The algorithm is divided into two levels for modulation recognition. Firstly, BPSK, QPSK and {1/4-QPSK, 8PSK} signals are identified by using the fourth-order cumulant characteristics of signals, and then 1/4-QPSK and 8PSK signals are identified by using the fourth-order cumulant and eighth-order cumulant characteristics of signal difference. The validity of the algorithm is analyzed theoretically, and the good performance of the algorithm is verified by computer simulation.)