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How to cope with the complexities of sophisticated multiple-input multiple-output (MIMO) techniques is critical to realizing these MIMO techniques in real-life applications. In this paper, we propose a list-based soft-decision MIMO detection algorithm based on the memory constraint tree search algorithm. Our algorithm achieves a flexible tradeoff between the memory requirement and computational complexity...
In this paper, we propose a VLSI design of a 4 × 4 MIMO-OFDMA down-link baseband receiver for the mobile communications. The receiver consists of synchronization, channel estimation/compensation, precode codebook search, and MIMO detection. To realize the closed-loop MIMO system in the mobile environment, we utilize the MMSE-OSIC algorithm for MIMO detector and capacity selection criterion for precode...
This paper presents a VLSI architecture of a novel soft-output K-Best MIMO detector. The proposed detector attains low computational complexity using three improvement ideas: relevant discarded paths selection, last stage on-demand expansion, and relaxed LLR computation. A deeply pipelined architecture for a soft-output MIMO detector is implemented for a 4×4 64-QAM MIMO system realizing a peak throughput...
MIMO-OFDM performs signal detection on subcarrier-by-subcarrier basis and increases its computational complexity. A complete pipeline MMSE detector meeting requirements for a high throughput has been presented in our previous work, which provides real-time processing even for large numbers of subcarriers. However, it requires large circuit scale and tends to be excessive for small numbers of subcarriers...
In this work, we propose a rotation-based transformation method and apply it to the QRD-M detector for MIMO systems with the commonly used square quadrature amplitude modulation (S-QAM) or amplitude and phase-shift keying (APSK). The QRD-M detector based on proposed rotation transformation principle method achieves 50% computation reduction for MIMO systems with 4-QAM compared with the original QRDM...
The problem of data detection in MIMO systems is usually studied under the assumption of perfect channel knowledge at the receiver. In practice, however, only a (potentially very poor) estimate of the channel is available. It has been shown that detection algorithms which take the unreliability of the channel estimate into account can significantly outperform their mismatched counterparts (i.e., detectors...
This paper presents a new space-time two-stage receiver with the assistance of soft information for the Alamouti space-time block code (STBC) and spatially multiplexing (SM) combined systems. The first stage of the receiver consists of a set of soft generalized sidelobe canceller (GSC)-based detectors, each for every STBC group and is intended to yield a more precise initial estimate of the transmitted...
In this paper, a reduced complexity soft-input soft-output MIMO detector is presented. The detector combines a Sphere Decoder, a Hopfield neural network and an error correction code in an iterative structure (turbo). The simulation results demonstrate that with less computational complexity, the proposed system's performance equals that of a sphere decoder based max-log-map detector in ideal channel...
Lattice reduction technology has been proved to improve MIMO system performance recently, but the complexity of optimum quantization algorithm is high due to constellation biased distribution caused by signal transformation. In this paper, a sorted feedback non-linear quantization (SFQ) scheme is proposed, which considers both the border of transformed constellation and the correlations between signal...
In this paper, we apply simulation-based optimization methods to detect quadrature amplitude modulated (QAM) MIMO signals. The first one is the so-called Cross-Entropy (CE) method which enables the corresponding CE-based detector to provide bit-error-rate (BER) performance close to that achievable by the maximum-likelihood (ML) detector when the signal-to-noise ratio (SNR) is relatively low. Unfortunately,...
In this paper, a low-complexity symbol detector is presented targeting the emerging 3GPP LTE and WiMAX standards. The detector is the VLSI implementation of a novel MIMO detection algorithm recently proposed. Compared to the design in the reference, the detector performs better while consumes less silicon area. Including a microcode controlled channel preprocessing unit and a pipelined detection unit,...
Independent Component Analysis (ICA) based method for detection in the compound system MIMO-OFDM and in the context of CDMA is proposed. ICA algorithm is used as a post processor attached to a subspace based CDMA receiver. The proposed architecture of receiver reduces the bias caused by the channel noise and further decreases the noise by dimensionality reduction. A downlink CDMA based MIMO-OFDM channel...
Spatial Modulation (SM) is a novel and recently proposed transmission technology for Multiple-Input-Multiple-Output (MIMO) wireless communication systems, which has been shown to be a promising alternative to several popular MIMO schemes. So far, only optimal or heuristic transceivers with Full Channel State Information (F-CSI) at the receiver have been investigated, and their performance analyzed...
MIMO systems have caught a lot of attentions mainly because of the boost of the information rate. However, so far the existing results only consider continuous signals at the receiver side. The effect of detectors on the mutual information has not been addressed. In this paper, we study the mutual information between the transmitted discrete signal and the quantized signal given by maximum-likelihood...
This paper presents a novel low-complexity multiple-input multiple-output (MIMO) detection scheme using a distributed M-algorithm (DM) to achieve high performance soft MIMO detection. To reduce the searching complexity, we build a MIMO trellis graph and split the searching operations among different nodes, where each node will apply the M-algorithm. Instead of keeping a global candidate list as the...
Cooperative communication with multi-antenna relays can significantly increase the reliability and speed. However, cooperative MIMO detection would impose considerable complexity overhead onto the relay if a full detect-and-forward (FDF) strategy is employed. In order to address this challenge, we propose a novel cooperative partial detection (CPD) strategy to partition the detection task between...
In this work we propose novel decision feedback (DF) detection algorithms with error propagation mitigation capabilities for multi-input multi-output (MIMO) spatial multiplexing systems based on multiple processing branches. The novel strategies for detection exploit different patterns, orderings and constraints for the design of the feedforward and feedback filters. We present constrained minimum...
Lattice-reduction (LR) has recently emerged as a promising technique for MIMO detection. Through lattice reduction, the original MIMO channel can be transformed into an equivalent one with better condition and result in the improved performance. Since all the LR-aided detectors require the prior knowledge of the instant channel state information (CSI) which can only be estimated in practice, the accuracy...
We consider turbo-coded MIMO systems with Rayleigh fading, when channel state information is available at the receiver only. Using our recently proposed linearly complex MIMO signal detector, we derive two bit-error-rate bounds on performance for such systems by extending the union bound method from turbo codes on the AWGN channel to time-varying MIMO fading channels. These bounds allow a designer...
It is known that MIMO detectors performance is highly influenced by the channel matrix condition number. An efficient way to decrease the channel matrix condition number is the use of Lattice Reduction techniques. In this paper a Lattice-Reduction-Aided (LRA) K-Best detector based on the channel matrix condition number is proposed for improving the performance of conventional K-Best algorithm. This...
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