LTE系統下考慮時間延遲之隨機存取前置訊號之偵測

Abstract

隨機存取過程是用戶連接到基地台的重要概念，此外偵測表現在物理隨機接入通道(PRACH)中是個關鍵議題。文獻中最常用的偵測方法是相關性峰值偵測(CPD)演算法，但是，在CPD演算法中的前導訊號偵測表現是可以被改進的。 在這篇論文中，基於廣義概似比檢驗（GLRT）和尼曼皮爾森(Neyman Pearson)標準之下，滑動窗口相關性範數偵測(SW-CND)演算法被提出，提出的這個方法在前導訊號偵測和時間延遲預測提供了強大的表現。

Random access procedure is an important concept for the user equipment to connect with the base station. Also, the detection performance is a crucial issue in Physical Random Access Channel (PRACH).The most detection method in the literature is correlation peak detection (CPD) algorithm. However, the performance of preamble detection in CPD algorithm can be improved. In this thesis, based on the generalized likelihood ratio test (GLRT) principle and the Neyman Pearson (NP) criterion , the sliding window-correlation norm detection (SW-CND) algorithm is proposed. It is shown that the proposed method provides a robust performance in the preamble detection and timing delay estimation.