No self-introduction
Loading
Profile
Follow
codes (10)
Simulation Using Matlab OFDM
4.0
Application background Orthogonal frequency division multiplexing (OFDM) is chosen as the modulation technique for wireless communication. OFDM can provide sufficient data for transmission in a lossy wireless communication channel. Many research centers in the world have set up a special working group to realize the optimization of OFDM. In the George Institute of technology, one of the working groups in SARL, GCATT. The purpose of this article is to provide matlab source to the simulation of OFDM signal generation and acceptance of involved in the physical layer, and provide involves the involves the every step description. Key Technology OFDM is the most attractive because this system can overcome the multipath interference in the receiving end. Multipath interference has two effects: frequency selective fading and inter symbol interference. A narrow band channel is overcome by the platform, and low rate modulation can make the mark longer than
yest0day 3 0
1
Ofdm_channel_estimation
4.0
Application background Using the LS estimator algorithm and forced zero crossing detection of the received signal; the LMMSE estimation algorithm and forced zero crossing detection received signal & nbsp; the low rank LMMSE estimation algorithm and forced zero crossing detection of the received signal. Key Technology The simulation of carrier frequency of 2GHz, 1MHz bandwidth, sub carrier number 128 CP 16; sub carrier spacing for 7.8125kHz; a OFDM symbol length for 128us, CP length for 16us; using 16QAM modulation; maximum Doppler frequency for 132Hz; multipath channel for diameter, the power delay spectrum obey negative exponential distribution ~exp -t/trms, trms= (1 / 4) *cp. The path delay is delay=[0 2e-6 4e-6 8e-6 12e-6]
yest0day 1 0
1
OFDM MATLAB 802.11a simulation code
no vote
Application background Synchronization and channel estimation to not to mention, even do it. The program in the form of function, the reproduction of the OFDM mapping, IDFTDFT, synchronized (time and frequency synchronization and channel estimation and frequency offset estimation of a series of code. Key Technology Simulator GUI is started with command'ui_start'in Matlab command window. TheSimulation starts by clicking the'Start Simulation'button in the GUI window. WLANSimulation can be terminated before, set number of packets have been reached by pressing'control-C'. WLAN
yest0day 0 0
1
MIMO space-time channel model modeling source prog
no vote
Application background MIMO space-time channel model modeling source program. Winner; Phase I channel model . Version 1.5. Model functions:WINNER channel model Channel (D5.4), parameter configuration for WIM Link, parameter configuration for WIM Model Key Technology Functions Utility interp_gain; Antenna; field pattern interpolation interp_gain_c; Antenna; field pattern interpolation (GSL requires)Wim_core; Channel; coefficient computation for a geometric channel model scm_mex_core; WIM_CORE; written in ANSI-C Generate_bulk_par of WIM bulk Generation parameters layout2link; Computes; and converts layout to link parameters
yest0day 1 0
1
Simulation of network_coding performance
no vote
Application background Generated networks selecting, one node as source and some nodes as receivers in InRandom (source multicast network single), make performance test for network weBased multicast route algorithm coding (put forward it ourselves we, to correspondingMulticast rate and low multicast rate shortest, path distribution tree route highAlgorithm (algorithm and) Maximum-rate distribution tree route DIJKSTRAAlgorithm (algorithm PRIM), respectively. Key Technology This program two, things have been done: generate (1) random topologies In (2) test performance. 2.9333 & nbsp; network coding cap: & nbsp; & nbsp; 5.0000 & nbsp; Dijk cap: & nbsp; & nbsp; 5.0000 & nbsp; prim cap: & nbsp; & nbsp; 5.0000 & nbsp; network coding res1: & nbsp; & nbsp; 0.0000--res2: & nbsp; & nbsp; 12 & nbsp; Dijk res: & nbsp; & nbsp; 14 & nbsp; prim res: & nbsp; & nbsp; 14 & nbsp; average: & nbsp; & nbsp;
yest0day 0 0
1
Various classical channel models
no vote
Application background 1992. Schulze: "Stochastische Modelle und digitale simulation von Mobil funkkanaelen", Kleinheubacher BERICHTE der, Vol.32, PP 473-483, 1989. P. Hoeher: "statistical a discrete time model for the WSSUS Multipath channel", IEEE. On Veh. Technol, Vol.41, No.4, PP 461-468 Key Technology Retrieve the power delay spectrum P (tau), the impulse response H (tau, t) and the transfer function H (F, t) of a sample COST-207 mobile channel using the "Gaussian Stationary Uncorrelated Scattering" (GSUS) & nbsp; stochastic channel; model by Schulze/Hoeher.H. String designating the desired transmission environment, i.e. the physical channel; according to, COST-207,'TU': "Typical Urban" (non-hilly urban environment), 'RA': - "Rural Area" (non-hilly; rural, environment) -'BU': "Bad Urban" (Hilly Urban Environment), &nbs
yest0day 5 0
1
802.11n LDPC IEEE decoding
4.0
Application background
Low-density parity-check (LDPC) codes are among the best
performing forward error-correction codes known today. Especially for wireless
communication systems, quasi-cyclic (QC) LDPC codes have attracted significant
attention as their regular parity check matrices facilitate cost-effective and
low-power hardware implementations and allow to easily adjust the block lengths
and code rates. Therefore, QC-LDPC codes are employed in a large number of
recent wireless communication standards, e.g., IEEE 802.16e, DVB-S2, and IEEE
802.11n.
Key Technology the software package contains a simulation
enviroment for LDPC encoding and decoding as used in the IEEE 802.11n wireless
LAN standard. The code is written in Matlab and consists of a flexible
Monte-Carlo simulation environment that can easily be extended for other LDPC
codes.
yest0day 6 0
1
Simulation of MIMO system
no vote
Application background This program can simulate 2*2 MIMO-LDPC base-band systems. The MIMO system's design can refer my following book. Different from the MIMO scheme of IEEE 802.16e, our MIMO-LDPC system has no space-time coding, while it achieved good BER performance. Key Technology Decoding of binary LDPC as in Elec. Letters by MacKay&Neal 13March1997 .For notations see the same reference. the received vector y with channel likelihoods of '0' and '1's in f0 and f1 and parity check matrix H. Success==1 signals successful decoding. Maximum number of iterations is set to 100.
yest0day 1 0
1
RayleighChan
no vote
Then use Linear or DFT planting RayleighChan% on the same symbol, select subcarrier pilot frequency % Channel: AWGN channel, taxi, en route, parking % Only Taxi1 part the detailed comments in part because of the same % All channel ChannelAeroT1 only do detailed comments Note that%! = Late due to modified programs, contains information NumSubc number of subcarriers, % NumSubc+Numpps for total number of subcarriers, where Numpps is the frequency (required for the divisors of 128 plus 1) % Change log: (1) 2008-01-21% SNR stepping to 2dB (2) 2008-02-28 $ $ $ 1 provided by the ICI and noise reduction methods enabled flag sigLp
yest0day 1 0
1
Generates SER using SBL decoding
no vote
Sparse Bayesian learning (SBL) decoder. SBL algorithm (June 4, 2012) for decoding complex-valued orthogonal frequency division multiplexing (OFDM) signals. The algorithm estimates the impulsive noise observed on the null tones at the receiver to subtract out an estimate of the impulsive noise in the current OFDM frame. The SBL algorithms learns the distribution of the impulsive noise in each frame.
yest0day 0 0
1
No more~
Follows0
Fans0