Simulation of signal separation using MIMO model over fading channels
Multiple-Input Multiple-Output (MIMO) communication models are generally used for diversity in data transmission. These can also be developed to transmit different data at the same time, with corresponding receivers, and separate them upon receiving. In effect, this promotes frequency conservation b...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2006
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14284 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | Multiple-Input Multiple-Output (MIMO) communication models are generally used for diversity in data transmission. These can also be developed to transmit different data at the same time, with corresponding receivers, and separate them upon receiving. In effect, this promotes frequency conservation because a MIMO model can utilize the use of a single frequency bandwidth.
In this study, a simulation of signal separation using a MIMO model is discussed with the aid of other methods to accomplish it. Two randomly generated signals are 8PSK modulated before transmission. The mixing occurs in the Rayleigh fading channel, wherein the mixing matrix is generated to conduct the actual addition of the transmitted signals. AWGN is included in the mixing process to define the noise and simulate thermal noise. At the receivers, the initial method applied is the conventional Equivariant Adaptive Source separation via Independence (EASI) algorithm. This serially determines the inverse of the mixing matrix of the channel to be able to separate the transmitted signals. After that, the signals pass through the normalized EASI algorithm, wherein the last mixing coefficient of the conventional EASI algorithm is the initial value for this section. A rotator follows the normalized EASI algorithm to correct the separated signals to its proper phase angles. The last step is demodulation, since both signals are originally 8PSK modulated.
Included in the study is a graphical user interface (GUI) layout of the simulation that can be easily manipulated and for ease of viewing of the simulation. |
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