Improved multiple feedback successive interference cancellation algorithms for near-optimal MIMO detection
نویسندگان
چکیده
In this article, we propose an improved multiple feedback successive interference cancellation (IMF-SIC) algorithm for symbol vector detection in multiple-input multipleoutput (MIMO) spatial multiplexing systems. The multiple feedback (MF) strategy in successive interference cancellation (SIC) is based on the concept of shadow area constraint (SAC) where, if the decision falls in the shadow region multiple neighboring constellation points will be used in the decision feedback loop followed by the conventional SIC. The best candidate symbol from multiple neighboring symbols is selected using the maximum likelihood (ML) criteria. However, while deciding the best symbol from multiple neighboring symbols, the SAC condition may occur in subsequent layers which results in inaccurate decision. In order to overcome this limitation, in the proposed algorithm, SAC criteria is checked recursively for each layer. This results in successful mitigation of error propagation thus significantly improving the bit error rate (BER) performance. Further, we also propose an ordered IMF-SIC (OIMF-SIC) where we use log likelihood ratio (LLR) based dynamic ordering of the detection sequence. In OIMF-SIC, we use the term dynamic ordering in the sense that the detection order is updated after every successful decision. Simulation results show that the proposed algorithms outperform the existing detectors such as conventional SIC and MF-SIC in terms of BER, and achieves a near ML performance.
منابع مشابه
Improved Multiple Feedback Successive Interference Cancellation Algorithm for Near-Optimal MIMO Detection
In this article, we propose an improved multiple feedback successive interference cancellation (IMF-SIC) algorithm for symbol vector detection in multiple-input multipleoutput (MIMO) spatial multiplexing systems. The multiple feedback (MF) strategy in successive interference cancellation (SIC) is based on the concept of shadow area constraint (SAC) where, if the decision falls in the shadow reg...
متن کاملMulti-Feedback Successive Interference Cancellation for Multiuser MIMO Systems
In this paper, a low-complexity multiple feedback successive interference cancellation (MF-SIC) strategy is proposed for the uplink of multiuser multiple-input multiple-output (MU-MIMO) systems. In the proposed MF-SIC algorithm with shadow area constraints (SAC), an enhanced interference cancellation is achieved by introducing constellation points as the candidates to combat the error propagati...
متن کاملApproximate maximum a posteriori detection for multiple-input-multiple-output systems with bit-level lattice reduction-aided detectors and successive interference cancellation
For iterative detection and decoding (IDD) in multiple-input–multiple-output (MIMO) systems, although the maximum a posteriori (MAP) detector can achieve an optimal performance, because of its prohibitively high computational complexity, various low-complexity approximate MAP detectors are studied. Among the existing MIMO detectors for the non-IDD receivers, lattice reduction (LR)-aided detecto...
متن کاملOrdered Successive Interference Cancellation Mimo Decision Feedback Equalization Based on Constant Modulus Property
The ordered successive interference cancellation MIMO decision feedback equalization based on constant modulus property is obtained by canceling decided symbols from the received symbols successively with the decision feed-forward equalizer (DFE) solution as a well known expression encountered in improved log-normal error function based on CMA (ILNCMA-OSIC-DFE) adaptive algorithms. The decision...
متن کاملLow-Complexity Iterative Detection Algorithms for Multi-Antenna Systems
Multiple input multiple output (MIMO) techniques have been widely employed by different wireless systems with many advantages. By using multiple antennas, the system is able to transmit multiple data streams simultaneously and within the same frequency band. The methods known as spatial multiplexing (SM) and spatial diversity (SD) improves the high spectral efficiency and link reliability of wi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- IET Communications
دوره 11 شماره
صفحات -
تاریخ انتشار 2017