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Joint carrier frequency offset and channel impulse response estimation for linear periodic channels

机译:线性周期信道的联合载波频率偏移和信道冲激响应估计

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We study joint estimation of the channel impulse response (CIR) and of the carrier frequency offset (CFO) for linear channels in which both the CIR and the noise statistics vary periodically in time. This model corresponds to interference-limited communications as well as to power line communication and doubly selective channels. We first consider the joint maximum likelihood estimator (JMLE) for the CIR and the CFO and show it has a high computational complexity and relatively low spectral efficiency. This motivates the derivation of two estimation schemes with higher spectral efficiency and lower computational complexity compared to the JMLE, obtained by exploiting both the periodicity of the channel and the fact that, typically, the delay-Doppler spreading function of the CIR is approximately sparse, without requiring a-priori knowledge of the sparsity pattern. The proposed estimation schemes are numerically tested and the results demonstrate that substantial benefits can be obtained by properly accounting for the approximate sparsity and periodicity in the design of the estimation scheme.
机译:我们研究线性脉冲信道的信道冲激响应(CIR)和载波频率偏移(CFO)的联合估计,在线性信道中CIR和噪声统计信息都随时间周期性变化。该模型对应于受干扰限制的通信以及电力线通信和双选信道。我们首先考虑CIR和CFO的联合最大似然估计器(JMLE),并表明它具有较高的计算复杂度和相对较低的频谱效率。与利用信道周期和CIR的延迟多普勒扩展函数通常是稀疏的这一事实相比,与JMLE相比,这推导了两种具有更高频谱效率和更低计算复杂度的估计方案的推导,不需要先验知识的稀疏模式。对提出的估计方案进行了数值测试,结果表明,通过适当地考虑估计方案设计中的稀疏性和周期性,可以获得实质性的收益。

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