分布式独特码TDMA信号的检测和频率估计

针对一类新型分布式独特码结构的TDMA信号，本文提出了基于这种新型结构下的独特码辅助的突发检测和频率估计算法，算法主要通过采用延时共轭相乘的方式，消除了频偏对检测性能的影响，并且频率估计具有较低的复杂度。本文同时从实际信号情况考虑，对目前主流的2个符号间隔插入的独特码结构提出了具体的应用建议，提高算法在具体应用背景下的检测性能和估计精度。本文重点分析了信噪比、频偏、独特码长度以及分布结构对算法性能的影响，并对不同条件下进行了仿真实验。仿真结果表明，算法能够实现对较大频偏TDMA信号的高精度突发检测和频率的快速粗估计校正。 

Detection and Frequency Estimation of Distributed Unique Word TDMA Signal

For a class of new type of distributed unique word structure TDMA signals, this paper proposes a burst detection and frequency estimation algorithm based on the unique word aided under this new structure, the algorithm mainly eliminates the influence of frequency offset on the detection performance by means of the time delay conjugate multiplication, and the frequency estimation has low complexity. At the same time, taking into account the actual signal conditions, this paper puts forward specific application suggestions on the unique code structure of the mainstream 2 symbols interval insertion, and improves the detection performance and the frequency estimation precision under the specific application background. This paper focuses on the influence of signal to noise ratio, frequency offset, unique word length and distribution structure on the performance of the algorithm, and carries out simulation experiments under different conditions. Simulation results show that the algorithm can achieve high-precision burst detection and frequency coarse estimation correction for large frequency offset TDMA signals.