Performance of SISID Algorithm for LTE Channel Models

Abstract

Abstract-In conventional Long Term Evolution (LTE) cell search, the integer Carrier Frequency Offset (CFO) and sector identity are jointly detected by utilizing the Primary Synchronization Signal (PSS). In order to make an efficient detection of integer CFO and sector identity, Sequential Integer CFO and Sector Identity Detection (SISID) algorithm is proposed. SISID achieves superior detection efficiency mainly by exploiting the symmetric property of the PSS data carried on the positive subcarriers and the negative subcarriers. With this symmetric property, the proposed technique can detect the integer CFO without prior information of the particular PSS that the current cell adopts, making the lowcomplexity sequential detection possible. The Constant Amplitude Zero Auto Correlation (CAZAC) property of Zadoff-Chu sequence uses the symmetric property of the PSS sequence, which can be exploited to enhance the performance of the cell search. Additionally, the SISID algorithm removes the effect of the channel frequency responses. So the detection accuracy is enhanced.