کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
566701 | 876017 | 2011 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: PARAFAC-based channel estimation and data recovery in nonlinear MIMO spread spectrum communication systems PARAFAC-based channel estimation and data recovery in nonlinear MIMO spread spectrum communication systems](/preview/png/566701.png)
In this paper, a new tensorial modeling is first proposed for nonlinear multiple-input multiple-output (MIMO) direct sequence spread spectrum communication systems. The channel is modeled as an instantaneous MIMO Volterra system. Then, a direct data approach for joint blind channel estimation and data recovery is developed using the parallel factor (PARAFAC) decomposition of a third-order tensor composed of received signals, exploiting space, time and code diversities. A blind channel estimation method based on the PARAFAC decomposition of a fifth-order tensor composed of covariances of the received signals is also proposed, considering phase shift keying (PSK) modulated transmitted signals. The proposed estimation algorithms are evaluated by simulating a nonlinear uplink MIMO radio over fiber (ROF) communication system.
Journal: Signal Processing - Volume 91, Issue 2, February 2011, Pages 311–322