Search - Db matlab

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[Program doc] 999 DL : 0: 根据有无固定基础设施，无线局域网又可分为BSS (Basic Service Set)和IBSS (Independent Basic Service Set)。我们要研究的ad hoc网络属于后者。假设在一个ad hoc网络中，移动节点的发射功率PTx总是恒定的。要发送数据的移动节点总是先监听信道，测量接收到的信号功率X，其中X= I + N, I为接收到的干扰，N是噪声。移动节点只有在X＜INThre时，才可以发射。式中，INThre为背景噪声门限。在仿真中，我们规定每个移动节点的发射功率是常数，PTx = 1W；接收节点接收机的灵敏度Smin = -80 dBm；信号质量 min = 2 dB；系统的背景噪声门限INThre = 1.2e-10。 -According to the availability of fixed infrastructure, wireless local area network can be divided into BSS (Basic Service Set) and IBSS (Independent Basic Service Set). We have to study the ad hoc network belong to the latter. Assuming in an ad hoc network, mobile node s transmission power is always constant PTX. To send data to the mobile node always monitor channel, measuring the received signal power X, which X = I+ N, I was received interference, N is the noise. Mobile node only when X <INThre when it is fired. Where, INThre threshold for background noise. In the simulation, we require that each mobile node s transmission power is constant, PTx = 1W receiver node receiver sensitivity Smin =-80 dBm signal quality
Date : 2026-01-02 Size : 7kb User : 何炳钦
[Program doc] sasdw DL : 0: 现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于 l5 dB时，识别率高于96％；当信噪比不低于l0 dB时，识别率不低于90％。-Existing digital signal automatic modulation recognition methods are mostly applied only to memoryless signals, such as PSK, ASK, FSK signals. Will have a memory signal (MSK signal) and non-memory signal into consideration, an improved digital signal automatic identification method. This method is the use of the instantaneous signal statistics as a characteristic parameter, the use of multi-layer neural network as classifier. Computer simulation shows that: When the noise using Gaussian white noise, and signal to noise ratio greater than l5 dB, the recognition rate is higher than 96 when the signal to noise ratio not less than l0 dB, the recognition rate of not less than 90.
Date : 2026-01-02 Size : 181kb User : happyuan
[Program doc] GMSK DL : 0: 为了提高移动通信系统中数据传输的有效性能,降低GMSK调制系统的误码率. 首先对GMSK调制系统进行分析,得到不同BT值GMSK调制的移动通信系统误码率和带宽的关系.通过引入具有纠错性能的编码技术,降低信息传输的误码率,提高系统的有效性. 本文给出了引入编码技术的GMSK调制系统的仿真模型,仿真结果表明,在相同的信噪比下,系统的误码率降低了1～2dB.-This paper mainly intends to improve the performance of the communication system and decrease the error bit rate of the information. First , the GMSKmodulation system was analyzed , and the relation of the BER and bandwidth in the different BT value was obtained. By introducing the encoding technology , the error bit rate of the information was lowered so that the performance of systemwas improved. This paper presents a simulated model . The results show that the BER of the system in the same SNR can lower 1 to 2 dB.
Date : 2026-01-02 Size : 569kb User : Jonny
[Program doc] uncodedBER DL : 0: the file which is uploaded is the uncoded systtem technique which we simulated. it gives the BER vs Snr curve.The un-coded system is simulated is by using randomly generated numbers and it s passed over the AWGN channel.the output of the matlab file clearly shows that the BER value of 10^-1 only is reached at a SNR of 20 db in the uncoded system. the file also has the simulated graph of the uncoded system.-the file which is uploaded is the uncoded systtem technique which we simulated. it gives the BER vs Snr curve.The un-coded system is simulated is by using randomly generated numbers and it s passed over the AWGN channel.the output of the matlab file clearly shows that the BER value of 10^-1 only is reached at a SNR of 20 db in the uncoded system. the file also has the simulated graph of the uncoded system.
Date : 2026-01-02 Size : 10kb User : vignesh
[Program doc] Array-antenna-simulation DL : 0: 有关阵列天线的matlab仿真， 1、给出阵元的个数，阵元的间隔以及波长 2、计算方向图并绘制不同的方向图，有规律的排列 3、计算出主瓣宽度，3dB带宽，主瓣与第一旁瓣的幅度比（以dB作单位）-Array antenna matlab simulation, 1, to the number troupe, interval, and the wavelength of the array element 2, calculate the pattern and draw a different pattern, a regular arrangement of 3, calculate the width of the main lobe, 3-dB bandwidth of the main lobe and the first side lobe amplitude ratio (in dB as a unit)
Date : 2026-01-02 Size : 61kb User : 王明
[Program doc] lab-pgms DL : 0: This a MATLAB based program that computes the: I. Maximum directivity (dimensionless and in dB) II. Radiation resistance (Rr) III. Input resistance (Rin) IV. Reactance relative to current maximum (Xm) V. Input reactance (Xin) VI. Normalized current distribution VII. Directivity pattern (in dB) in polar form VIII.Normalized far-field amplitude pattern (E-theta, in dB) in polar form for a symmetrical dipole of finite length. The dipole is radiating in free space. The directivity, resistances and resistances are calculated using the trailing edge method in increments of 1 degree in theta. -This is a MATLAB based program that computes the: I. Maximum directivity (dimensionless and in dB) II. Radiation resistance (Rr) III. Input resistance (Rin) IV. Reactance relative to current maximum (Xm) V. Input reactance (Xin) VI. Normalized current distribution VII. Directivity pattern (in dB) in polar form VIII.Normalized far-field amplitude pattern (E-theta, in dB) in polar form for a symmetrical dipole of finite length. The dipole is radiating in free space. The directivity, resistances and resistances are calculated using the trailing edge method in increments of 1 degree in theta.
Date : 2026-01-02 Size : 5.53mb User : lokesh
[Program doc] PSKmodulation DL : 0: 提出了一种不仅计算量小，而且可以在低信噪比下正确识别相位调制信号的方法。利用Matlab工具进行仿真，仿真结果表明，在信噪比不低于2 dB的情况下，对PSK子类调制信号的识别率可以达到93 以上。 -Proposed a method of calculating only a small amount, and can correctly identify the phase modulation signal at a low SNR. Use Matlab tool for simulation, simulation results show that, in the case of not less than 2 dB of SNR for PSK modulated signals subclass recognition rate can reach 93 .
Date : 2026-01-02 Size : 1.45mb User : ght
[Program doc] matlab DL : 0: function [out1,out2] = humps(x) HUMPS A function used by QUADDEMO, ZERODEMO and FPLOTDEMO. Y = HUMPS(X) is a function with strong maxima near x = .3 and x = .9. [X,Y] = HUMPS(X) also returns X. With no input arguments, HUMPS uses X = 0:.05:1. Example: plot(humps) See QUADDEMO, ZERODEMO and FPLOTDEMO. Copyright 1984-2014 The MathWorks, Inc. if nargin==0 x = 0:.05:1 end y = 1 ./ ((x-.3).^2 + .01) + 1 ./ ((x-.9).^2 + .04) - 6 if nargout==2, out1 = x out2 = y else out1 = y end qually probable bits, P(0) = P(1) = 0.5. (a) Construct a program to generate 10000 bits with bipolar signaling. (b) Use your program to simulate the bit error performance of the system with Eb/N0 = 0, 2, 4, 6, 8, 10 dB. (c) Compare your simul-function [out1,out2] = humps(x) HUMPS A function used by QUADDEMO, ZERODEMO and FPLOTDEMO. Y = HUMPS(X) is a function with strong maxima near x = .3 and x = .9. [X,Y] = HUMPS(X) also returns X. With no input arguments, HUMPS uses X = 0:.05:1. Example: plot(humps) See QUADDEMO, ZERODEMO and FPLOTDEMO. Copyright 1984-2014 The MathWorks, Inc. if nargin==0 x = 0:.05:1 end y = 1 ./ ((x-.3).^2 + .01) + 1 ./ ((x-.9).^2 + .04) - 6 if nargout==2, out1 = x out2 = y else out1 = y end qually probable bits, P(0) = P(1) = 0.5. (a) Construct a program to generate 10000 bits with bipolar signaling. (b) Use your program to simulate the bit error performance of the system with Eb/N0 = 0, 2, 4, 6, 8, 10 dB. (c) Compare your simul
Date : 2026-01-02 Size : 1kb User : sandeep