The Application of Cross Correlation Technique for Estimating Impulse Response and Frequency Response of Wireless Communication Channel

Z. Sharif, A. Sha'ameri
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引用次数: 14

Abstract

Cross correlation technique is one of the most commonly used methods to estimate the channel impulse response such as a wireless communication channel. This paper looks at the use of two different types of signals that is applied in the cross correlation technique. The signals are phase shift keying (PSK) and linear FM signals (Chirps). Pseudo random sequence (PRS) is used in the generation of the PSK signals. The parameters of the PRS are varied according to the sequence lengths, sampling frequency and bit rate. From the cross correlation functions and the cross spectrum, the channel impulse response and channel frequency response are respectively estimated. Besides PSK signals, linear FM signal is also used as an input to estimate the channel impulse response. Both PSK and linear FM signals are chosen due to their auto correlation properties that are similar to an impulse function. Thus, the channel impulse response can be estimated based on the cross correlation between the output and the input signals. The desired and the estimated channel impulse responses and channel frequency response are respectively estimated and compared based on the mean squared error (MSE).
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相互关技术在估计无线通信信道脉冲响应和频率响应中的应用
互相关技术是估计无线通信信道脉冲响应最常用的方法之一。本文着眼于在相互关联技术中应用的两种不同类型的信号的使用。信号是相移键控(PSK)和线性调频信号(Chirps)。PSK信号的产生采用伪随机序列(PRS)。PRS的参数随序列长度、采样频率和比特率的变化而变化。从相关函数和交叉谱出发,分别估计了信道脉冲响应和信道频率响应。除PSK信号外,还使用线性调频信号作为估计信道脉冲响应的输入。选择PSK和线性调频信号是因为它们的自相关特性类似于脉冲函数。因此,可以根据输出信号和输入信号之间的相互关系来估计信道脉冲响应。基于均方误差(MSE)分别估计和比较了信道期望和估计的脉冲响应和信道频率响应。
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