Journal of Information Technology & Software Engineering
Open Access
ISSN: 2165- 7866
+44 1300 500008
ISSN: 2165- 7866
+44 1300 500008
Mohamed G El-Mashed
Menoufia University, Egypt
Posters & Accepted Abstracts: J Inform Tech Softw Eng
One of the most challenging tasks of advanced MIMO signal processing with respect to the computational requirements is data detection at the receiver side. The transmitted data has to be detected with low probability of error. For high rate MIMO transmission schemes using spatial multiplexing, optimum data detection can easily become prohibitively complex, since one has to deal with a very strong spatial interference of the multiple transmitted data streams. These systems require receiver with high probability of detection and high performance in order to estimate the transmitted data streams. We propose a scalable and flexible detection algorithm with higher performance. It is characterized by dividing the total detection problem into subproblems. Each sub-problem is solved separately to reduce complexity. The proposed detection algorithm consists of 5 stages. The stages are preprocessing, group interference suppression, sub-optimum detection algorithm with low dimension to detect first data streams, interference cancellation and linear detector to detect last data. Each stage can be updated with advanced stage to enhance the performance without affecting other stages. This algorithm is applicable for advanced communication systems that deploy multiple antennas at transmitter and receiver. This paper investigates the performance of the proposed algorithm and compares its performance with other detection algorithms.
Email: mohamed_elmashed@ymail.com