论文标题
改进的干扰近似方案,用于改善FBMC系统中基于序言的通道估计性能
A Modified Interference Approximation Scheme for Improving Preamble Based Channel Estimation Performance in FBMC System
论文作者
论文摘要
滤清器库多载波(FBMC)被认为是5G的竞争波形候选者,可以替换正交频施加多路复用(OFDM)。但是,通道估计(CE)在FBMC中是一个巨大的挑战,因为它遭受了内在干扰,这仅仅是由于子载波函数仅在实际领域的正交性。在本文中,我们通过近似相邻飞行员的固有干扰来调查提出的修改后的干扰近似方案(M-AIM),以适应复杂的通道频率,从而改善了CE性能,除了简化其处理。 M-AIM方案具有比其他常规序列方案更大的伪飞行幅度,即具有其版本(IAM-C)和(E-AIM-C)的干扰近似方法(IAM);除了新颖的序言设计(NP)。此外,提出的(M-AIM)方案的特征是所需的较低传输功率。 M-AIM的CE性能通过512和2048子载波通过不同类型的室外和室内多路径褪色渠道进行了研究,例如IEEE 802.22,IEEE 802.11,IEEE 802.11,RICIAN,RICIAN,RICIAN和添加性白色高斯噪音(AWGN),以及时间变化的广场和车辆(例如Rayleigh and rayigh和rayigh)。仿真结果表明,在上述通道模型下,提出的M-AIM方案在传统的前序模型下达到了较低的位错误率(BER),较低的均值均方根误差(NMSE)和较低的峰值功率比(PAPR)。所提出的方案具有节省传输能力的优势,这一要求可以符合5G低功率要求。
Filter bank multi carrier (FBMC) is considered a competitive waveform candidate for 5G that can replace orthogonal frequency division multiplexing (OFDM). However, channel estimation (CE) is a big challenge in FBMC because it suffers from intrinsic interference which is due to the orthogonality of the subcarrier functions in the real field only. In this paper, we investigate a proposed modified interference approximation scheme (M-IAM) by approximating the intrinsic interference from the neighboring pilots to accommodate the complex channel frequency and thus improving CE performance besides simplifying its processing. The M-IAM scheme has larger pseudo pilot magnitude than other conventional preamble schemes, namely the interference approximation method (IAM) with its versions (IAM-C) and (E-IAM-C); in addition to the novel preamble design (NPS). In addition, the proposed (M-IAM) scheme is characterized by the lower transmitted power needed. The CE performance of the M-IAM is investigated through 512 and 2048 subcarriers via different types of outdoor and indoor multipath fading channels that are time-invariant such as IEEE 802.22, IEEE 802.11, Rician, and additive white Gaussian noise (AWGN), as well as time varying channels such as Rayleigh and Vehicular A (Veh-A). Simulation results demonstrate that the proposed M-IAM scheme achieves a lower bit error rate (BER), lower normalized mean square error (NMSE) and lower peak-to-average power ratio (PAPR) over the conventional preamble schemes under the aforementioned channel models. The proposed scheme has the advantage of saving the transmitted power, a requirement that could match 5G low power requirements.