Spread Spectrum Orthogonalization ofSuperimposed Training Signals in OFDM System’sSimulation
محل انتشار: هفتمین کنفرانس بین المللی پژوهش در علوم و مهندسی و چهارمین کنگره بین المللی عمران، معماری و شهرسازی آسیا
سال انتشار: 1401
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 313
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شناسه ملی سند علمی:
ICRSIE07_159
تاریخ نمایه سازی: 6 اردیبهشت 1402
چکیده مقاله:
in this paper, we discuss the simulation for a paper titled Spread Spectrum Orthogonalization of Superimposed training Signals in OFDM Systems. In the paper, the writer propound a new technique named Superimposed Training (ST) for Orthogonal Frequency Division Multiplexing (OFDM) systems. OFDM is a technique of separating data and training signals in orthogonal code domains which is to alleviate the obstacles among one another. The data signals is divided into separated bins, which are separated using orthogonal codes and in code domain, it is multiplexed. Next, the spread training signal is combined with the new data signal. This proposal called Spread Spectrum Orthogonalization (SSO). For the simulation, we will measure noise effect on the signal in the channel. We will estimate the ratio of mean square error, signal to noise, and bit error rate.
کلیدواژه ها:
Superimposed Training ، orthogonal Frequency Division Multiplexing (OFDM) ، Spread Spectrum ، Signal to Noise ratio (SNR) ، Mean Square Error (MSE).
نویسندگان
Mohammad Kazem Beshkani
Computer Engineering - Hakim Nizami Institute of Higher Education
Yasaman Khandan
Master of Power Electricity - Malek Ashtar University of Technology