Approaching the Dirty Paper Limit for Canceling Known Interference
نویسندگان
چکیده
Costa’s “writing on dirty paper”–channel model offers an information theoretic framework for precoding techniques for canceling arbitrary known interference. Using lattice strategies and MMSE scaling, lossless precoding is theoretically possible at any SNR. Following this approach, we report an end-to-end coding realization of a system materializing a significant portion of the promised gains. We employ iterative detection and decoding of capacity approaching codes, where code design is done using the EXIT chart technique. Encoder Decoder w X Y N S
منابع مشابه
Informed Detection Revisited
Watermarking systems can employ either informed detection, where the original cover work is required, or blind detection, where it is not required. While early systems used informed detection, recent work has focused on blind detection, because it is considered more challenging and general. Further, recent work on “dirty-paper watermarking” has suggested that informed detection provides no bene...
متن کاملINTELLIGENT TECHNIQUE OF CANCELING MATERNAL ECG IN FECG EXTRACTION
In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. P...
متن کاملPerformance Improvement of Radar Target Detection by Wavelet-based Denoising Methods
With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...
متن کاملPerformance Improvement of Radar Target Detection by Wavelet-based Denoising Methods
With progress in radar systems, a number of methods have been developed for signal processing and detection in radars. A number of modern radar signal processing methods use time-frequency transforms, especially the wavelet transform (WT) which is a well-known linear transform. The interference canceling is one of the most important applications of the wavelet transform. In Ad-hoc detection met...
متن کاملAdaptive Interference Signal Processing with Intelligent Neuro-Fuzzy Approach
An intelligent learning-based approach using neural network and fuzzy logic to the problem of interference canceling is proposed in the paper. The famous signal-processing structure of adaptive noise canceling is used for the research of interference signal canceling, in which a neuro-fuzzy system is used as the adaptive notch filter. Four T-S fuzzy rules are in the neuro-fuzzy filter. The filt...
متن کاملذخیره 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 2003