Titlebook: Low Complexity MIMO Receivers; Lin Bai,Jinho Choi,Quan Yu Book 2014 Springer International Publishing Switzerland 2014 Coordinated Multipo

摘要記錄

Introduction,In wireless communications, the maximum achievable data rate of wireless channels is usually the most critical issue to be addressed for system design, which can be characterized by the channel capacity.

Restenosis

CANDY

Successive Interference Cancellation-Based MIMO Detection,It has been shown that the optimal performance and low complexity can be obtained by the ML detection and linear detection methods, respectively.

有角

滋養(yǎng)

Bit-Wise MIMO-BICM-ID Using Lattice Reduction,For IDD in MIMO systems, the LLR of each coded bit can be found by employing an optimal bit-wise MAP detector as shown in Chap.?..

FEAS

不愿

Iterative Channel Estimation and Detection,In wireless communication systems, the receiver performs two major tasks: channel estimation and signal detection. In the conventional approach, although the channel estimation and signal detection are toughly coupled, they are often dealt with separately.

尋找

978-3-319-34358-7Springer International Publishing Switzerland 2014

ACRID

Signal Processing at Receivers: Detection Theory, systems. To accept or reject a hypothesis based on observations, the hypotheses are possible statistical descriptions of observations using statistical hypothesis testing tools. As realizations of a certain random variable, observations can be characterized by a set of candidate probability distributions of the random variable.

Foregery

Lattice Reduction-Based MIMO Detection,oaches may provide reasonable good performance with low complexity, they cannot exploit a full receive diversity gain, which results in the performance gap between the ML as a high SNR scenario is considered.