A New Ambiguity Elimination Method for BSS Block Signals in Time Domain

다국어 초록 (Multilingual Abstract)

This paper deals with the ambiguity problem of blind source separation (BSS) in the case where continuously received mixture signals are split in time and processed block by block. Due to the inherent permutation and scaling ambiguities of BSS, tying the separated components at each adjacent time blocks doesn’t recover the original source signals correctly in general. Inspired by the Permutation Method of reconstructing source signal blocks in time domain, a new ambiguity elimination approach is proposed in this paper. This method aims to concatenate the separated components in adjacent blocks by artificially setting contrast blocks for each adjacent time blocks. The core idea of this method is to utilize the associativity between components recovered from contrast blocks and corresponding adjacent blocks. Compared with Permutation Method, the main advantage of this new method consists in the fact that it is much more efficient in terms of separation quality and computational speed. Besides, a tradeoff can be adjusted between separation quality and computational speed by choosing different length of contrast blocks. Real-life experiments are performed to validate the performance of this method on the wireless communication system with two transmitting and receiving antennas.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. System Model and Assumptions
• 2.1. System Model
• 2.2. Assumptions on the Model
• 3. New Ambiguity Elimination Method
• 3.1. Permutation and scaling ambiguities
• 3.2. Contrast Blocks
• 3.3. Procedure of New Ambiguity Elimination Method
• 4. Experimental Results and Analysis
• 4.1. Performance Validity
• 4.2. Performance Analysis
• 5. Conclusion
• Reference