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Ding Y.,South China University of Technology | Ding Y.,Sino French Research Center in Information and Communication | Li N.,South China Normal University | Wang Y.,CNRS Institute of Electronics and Telecommunications, Rennes | And 3 more authors.
2014 IEEE Global Communications Conference, GLOBECOM 2014 | Year: 2014

Widely linear processing (WLP) can provide attractive performance improvement in wireless communication systems. However, performance improvement brought by WLP is mainly achieved by exploiting signal's non-circularity, which leads to the fact that existing works on WLP are mainly confined to the cases related to non circular signals or improper signals with imbalanced I/Q components. In this paper, WLP for circular signals, such as PSK signals, is investigated by exploiting the hidden properties of PSK signals. The hidden properties of PSK signals are firstly studied, and a unified mathematical model is derived to describe the hidden properties of PSK signals. Furthermore, a widely linear sphere decoding (WLSD) algorithm exploiting PSK signals' hidden properties is proposed for MIMO systems. Compared to traditional sphere decoding (SD), WLSD has little performance loss, and it transforms the traditional SD searching for the true transmitted vector into the shrunk searching for the corresponding rotation vector, the candidate rotation vectors of WLSD are only (1/2)NT of SD candidate vectors. Simulation results show that the proposed algorithm can achieve quasi-optimal BER performance, while the computational complexity is significantly reduced by more than a half compared with Schnorr-Euchner sphere decoder. © 2014 IEEE. Source


Jianzhong L.,South China University of Technology | Jianzhong L.,Sino French Research Center in Information and Communication | Wang Y.,Sino French Research Center in Information and Communication | Wang Y.,CNRS Institute of Electronics and Telecommunications, Rennes | And 2 more authors.
IET Signal Processing | Year: 2015

In this paper, a new near-field source localisation method based on signal reconstruction and clustering approach is proposed. The new method makes full use of the advantages of signal reconstruction, reconstructs the parameters related to the direction of arrival (DOA) and range of sources in cumulant domain separately, and pairs them with clustering technique. This would lead to higher resolution and better accuracy than traditional methods. By estimating the parameters separately, the authors avoid constructing a huge overcomplete basis, and reduce the computational burden. Simulation results show the effectiveness of the proposed method. © The Institution of Engineering and Technology 2015. Source


Ding Y.,South China University of Technology | Ding Y.,Sino French Research Center in Information and Communication | Wang Y.,Sino French Research Center in Information and Communication | Wang Y.,CNRS Institute of Electronics and Telecommunications, Rennes | And 5 more authors.
IEICE Transactions on Communications | Year: 2014

In this paper, an adaptive expansion strategy (AES) is proposed for multiple-input/multiple-output (MIMO) detection in the presence of circular signals. By exploiting channel properties, the AES classifies MIMO channels into three types: excellent, average and deep fading. To avoid unnecessary branch-searching, the AES adopts single expansion (SE), partial expansion (PE) and full expansion (FE) for excellent channels, average channels and deep fading channels, respectively. In the PE, the non-circularity of signal is exploited, and the widely linear processing is extended from non-circular signals to circular signals by I (or Q) component cancellation. An analytical performance analysis is given to quantify the performance improvement. Simulation results show that the proposed algorithm can achieve quasi-optimal performance with much less complexity (hundreds of flops/symbol are saved) compared with the fixed-complexity sphere decoder (FSD) and the sphere decoder (SD). Copyright © 2014 The Institute of Electronics, Information and Communication Engineers. Source


Feng X.,French National Center for Scientific Research | Feng X.,China Electronics Technology Group Corporation | Wang Y.,French National Center for Scientific Research | Wang Y.,Sino French Research Center in Information and Communication | And 6 more authors.
Eurasip Journal on Wireless Communications and Networking | Year: 2016

In modern wireless communication system, power amplifier (PA) is an important component which is expected to be operated at the region of high power efficiency, but in this region, PA is inherently nonlinear. Thus, the linearization of high power efficient PA is necessary. In this paper, direct learning architecture (DLA) and indirect learning architecture (ILA) are firstly compared. It shows that DLA is more robust than ILA. Then a baseband digital predistortion (DPD) method with DLA is proposed for power amplifier linearization based on combined look-up tables (LUT) and memory polynomial (MP) model. The main innovation is that a LUT-based approach is proposed to calculate directly the complex-valued predistorted signal. Moreover, some interpolation techniques are introduced to reduce the LUT size. The proposed DPDs are validated experimentally. Additionally, the influences of some important parameters in experimental setup, such as the number of bits of analog-to-digital converter (ADC) and the instrument bandwidth, are analyzed. © 2016, Feng et al. Source


Xie H.,South China University of Technology | Xie H.,CNRS Institute of Electronics and Telecommunications, Rennes | Xie H.,Sino French Research Center in Information and Communication | Andrieux G.,CNRS Institute of Electronics and Telecommunications, Rennes | And 7 more authors.
AEU - International Journal of Electronics and Communications | Year: 2014

A novel efficient time domain threshold based sparse channel estimation technique is proposed for orthogonal frequency division multiplexing (OFDM) systems. The proposed method aims to realize effective channel estimation without prior knowledge of channel statistics and noise standard deviation within a comparatively wide range of sparsity. Firstly, classical least squares (LS) method is used to get an initial channel impulse response (CIR) estimate. Then, an effective threshold, estimated from the noise coefficients of the initial estimated CIR, is proposed. Finally, the obtained threshold is used to select the most significant taps. Theoretical analysis and simulation results show that the proposed method achieves better performance in both BER (bit error rate) and NMSE (normalized mean square error) than the compared methods has good spectral efficiency and moderate computational complexity. © 2013 Elsevier GmbH. Source

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