By Topic

A study on detection method of same spreading code signals by multimodulus algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Murata, G. ; Tokyo Univ. of Agric. & Technol., Koganei, Japan ; Umebayashi, K. ; Suzuki, Y.

This paper investigates a signal detection method with a RAKE combiner when the receiving signals are spreaded by a same spreading code. In this case, a blind channel estimation is difficult and this issue has not been investigated deeply. We propose two blind channel estimation methods based on the multimodulus algorithm (MMA), i.e., MMA-IQ and MMA-I channel estimation methods, for the issue. When one dimensional modulation scheme, such as differential binary phase-shift keying (DBPSK) is used, a channel estimation by the MMA-IQ channel estimation method may provides two states since the MMA uses the constant modulus algorithm (CMA) in real and imaginary components (I- and Q-axis in I-Q plane). Specifically, the first state is that the channel estimation corresponds to one signal in the multiple receiving signals, and the second state is that the channel estimation consist of two signals. In the later state, it is possible to detect the both signals at once. However, the receiver has to recognize the state before the signal detection, thus we also propose a state recognition method. On the other hand, in the MMA-I channel estimation method, only I-axis is used thus the channel estimation is always for one signal. Numerical results showed that bit error rate performances of the MMA-IQ and MMA-I.

Published in:

Information Networking (ICOIN), 2013 International Conference on

Date of Conference:

28-30 Jan. 2013