Joint Channel Estimation and Decoding Design for 5G-Enabled V2V Channel

This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular(V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing(OFDM) system, we perform extended Kalman filter(EKF) for channel estimation in conjunction with Iterative Detector & Decoder(IDD) at the receiver to improve the estimation accuracy. The EKF is proposed for jointly estimating the channel frequency response and the time-varying time correlation coefficients. And the IDD structure is adopted to reduce the estimation errors in EKF. The simulation results show that, compared with traditional methods, the proposed method effectively promotes the system performance.

Statistical-mechanical analysis of multiuser channel capacity with imperfect channel state information

In this paper, the effect of imperfect channel state information at the receiver, which is caused by noise and other interference, on the multi-access channel capacity is analysed through a statistical-mechanical approach. Replica analyses focus on analytically studying how the minimum mean square error （MMSE） channel estimation error appears in a multiuser channel capacity formula. And the relevant mathematical expressions are derived. At the same time, numerical simulation results are demonstrated to validate the Replica analyses. The simulation results show how the system parameters, such as channel estimation error, system load and signal-to-noise ratio, affect the channel capacity.

CLOSED-FORM SPACE-TIME CHANNEL BLIND ESTIMATION FOR SPACE-TIME CODED MC-CDMA SYTEMS WITH UNIFORM LINEAR ARRAY

This paper proposes a closed-form joint space-time channel and Direction Of Arrival （DOA） blind estimation algorithm for space-thne coded Multi-Carrier Code Division Multiple Access （MC-CDMA） systems equipped with a Uniform Linear Array （ULA） at the base station in frequency-selective fading environments. The algorithm uses an ESPRIT-like method to separate multiple co-channel users with different impinging DOAs. As a result, the DOAs for multiple users are obtained. In particular, a set of signal subspaces, every one of which is spanned by the space-time vector channels of an individual user, are also obtained. From these signal subspaces, the space-time channels of multiple users are estimated using the subspace method. Computer simulations illustrate both the validity and the overall performance of the proposed scheme.

大庆长垣南部扶杨油层河道砂体预测方法与应用

扶杨油层尚有大量的油气资源量未被开发,是大庆油田重要的后备储量资源,也是大庆建设百年油田主要的勘探、开发领域,其储层砂体为河流-三角洲环境的分流河道沉积,砂体厚度横向变化较快,属低孔、低渗储层,河道砂体不易预测与识别,成为油田勘探、开发瓶颈。针对这一问题,在大庆长垣南部扶杨油层开展了地震技术研究,由于T2地震反射层的屏蔽作用,地震采集较难获得扶杨油层高信噪比、高频率的资料,经过几年的研究,取得了较好的应用效果,通过地震叠后分频处理、各向异性和叠前弹性波阻抗反演预测等技术初步现实了对扶杨油层河道砂体的预测与识别。

松辽盆地两江地区扶余油层河道储层描述方法与应用

松辽盆地扶余油层储层砂体为河流—三角洲沉积环境的分流河道沉积,储层横向变化剧烈,属低孔、低渗储层,不易预测与识别。针对这一油田勘探、开发的瓶颈,在进行细分小层层序地层和沉积微相等地质研究的基础上,对河道成因、河道宽度进行了解剖,开展了叠后分频处理、各向异性和叠前弹性波阻抗反演预测技术研究,在扶余油层的河道描述方面取得了较好的应用效果。