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[
Program doc
]
OFDM1
DL : 0
matlab环境中ofdm基本原理的源程序,实现了误码率和SNR关系的图形显示-matlab environment the basic principles of OFDM source, realized the relationship between BER and SNR of the graphical display
Date
: 2025-12-31
Size
: 1kb
User
:
张星星
[
Program doc
]
ber
DL : 0
Bit error probability curve for QPSK mimo 1*2, Bit error probability curve for QPSK mimo 1*4-Bit error probability curve for QPSK mimo 1*2, Bit error probability curve for QPSK mimo 1*4
Date
: 2025-12-31
Size
: 2kb
User
:
vinodh kumar
[
Program doc
]
wimax_ofdm_ber_snr
DL : 0
ofdm simulation, cantains ber, snr. it s short code ofdm mimo, wimax wide.
Date
: 2025-12-31
Size
: 3kb
User
:
dmowskik
[
Program doc
]
gjlj
DL : 0
重点研究 了低信噪比﹑多径瑞利衰落信道条件下,基于高阶累积量的OFDM信号盲识别技 术。提出了利用奇数阶累积量区分OFDM信号与单载波信号的方法,并对基于三 阶和五阶累积量的算法进行了仿真分析。 -﹑ Focus on the low SNR multipath Rayleigh fading channel conditions, based on cumulant OFDM signal blind identification technology. Made a distinction between the use of odd-order cumulants single-carrier OFDM signal with the signal approach, and based on the cumulative amount of third-order and fifth-order algorithm for the simulation.
Date
: 2025-12-31
Size
: 1.15mb
User
:
赵亮
[
Program doc
]
OFDM-signals-with-low-SNR
DL : 0
针对认知无线电系统中正交频分复用( OFDM )信号参数估计这一重要问题, 利用OFDM 信号的循环谱实现了符号周期的盲估计。-For cognitive radio systems, orthogonal frequency division multiplexing (OFDM) signal parameter estimation of this important issue, the cyclic spectrum of the OFDM signal to achieve the blind estimation of symbol period.
Date
: 2025-12-31
Size
: 293kb
User
:
Chaos
[
Program doc
]
SNR-estimation
DL : 0
Signal to Noise Ratio in MIMO-OFDM
Date
: 2025-12-31
Size
: 166kb
User
:
Jaanu
[
Program doc
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MIMO-OFDM-Adaptation
DL : 0
Adaptation in Convolutionally-Coded MIMO-OFDM Wireless Systems through Supervised Learning and SNR Ordering
Date
: 2025-12-31
Size
: 987kb
User
:
nurannisa
[
Program doc
]
OFDM
DL : 0
信噪比估计文章 学会如何估计信噪比,很不错的文章,很容易学会-SNR
Date
: 2025-12-31
Size
: 1.57mb
User
:
陈锦宇
[
Program doc
]
BPSK
DL : 0
OFDM+AWGN傳送與接收端模擬 加入AWGN(可加性白高斯雜訊)後比較SNR與BER之關係-OFDM+AWGN Simluation
Date
: 2025-12-31
Size
: 9kb
User
:
賴俊豪
[
Program doc
]
HW4
DL : 0
A 16-QAM signal X, whose power is normalized as unity, is transmitted with OFDM over the discrete-time channel model h which has been used in Homework #2 and #3. As depicted in the below figure, the transmitter (TX) is now equipped with an N-point IDFT and the receiver (RX) with an N-point DFT, along with adding cyclic prefix (CP) and removing CP removal, respectively. The complex AWGN n is set with 20 dB SNR. Suppose that N=256 and the length of CP is 64. Assuming the OFDM system works with perfect synchronization. -Generate two pseudo random (PN) sequences for X, each with a length of 256 samples which are taken {+1,-1}, and add them before the 16-QAM data with a proper CP. The OFDM frame is depicted in the following figure. PN1 and PN2 are used for channel estimation now. Suppose the PN patterns are known at RX. Use the least squares (LS) method to estimate the channel by averaging the results obtained individually PN1 and PN2. (When perfoming the DFT window for the received signal at RX, you need to notice that the channel results in a delay of 22 samples.)
Date
: 2025-12-31
Size
: 206kb
User
:
淘爱57
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