A fast blind source separation for digital wireless applications

نویسندگان

  • Murat Torlak
  • Lars K. Hansen
  • Guanghan Xu
چکیده

The problem of blindly estimating multiple digital co-channel communication signals using an antenna array is studied in the presence of multipath fading. We develop a fast sequential-estimation algorithm for separating multi-user signals based on the geometric observation made by Hansen and Xu in [2]. When the signals are constrained to a nite alphabet, it is possible to visualize the geometric properties of the problem, which can be exploited to sequentially extract the digital co-channel communication signals. We will present simulation results comparing speed and BER performance with di erent methods.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Calculation of Leakage in Water Supply Network Based on Blind Source Separation Theory

The economic and environmental losses due to serious leakage in the urban water supply network have increased the effort to control the water leakage. However, current methods for leakage estimation are inaccurate leading to the development of ineffective leakage controls. Therefore, this study proposes a method based on the blind source separation theory (BSS) to calculate the leakage of water...

متن کامل

Blind Signal Separation Using an Extended Infomax Algorithm

The Infomax algorithm is a popular method in blind source separation problem. In this article an extension of the Infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-Gaussian distributions. This ability is the results of using two different nonlinear functions and new coefficients in the learning rule. In this paper we show how we can use the distribution...

متن کامل

Blind Signal Separation Using an Extended Infomax Algorithm

The Infomax algorithm is a popular method in blind source separation problem. In this article an extension of the Infomax algorithm is proposed that is able to separate mixed signals with any sub- or super-Gaussian distributions. This ability is the results of using two different nonlinear functions and new coefficients in the learning rule. In this paper we show how we can use the distribution...

متن کامل

Blind Source Separation for digital data protection

Digital transmission is acquiring an ever increasing role in a variety of modern applications. As most of these applications demand data security assurances in order to be accepted by potential users and to be able to produce the desired results, there is an increasing demand for cryptographic techniques capable of providing these assurances. In paradigms like the mobile phone networks or IP ne...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998