Efficient integer frequency offset estimation for OFDM systems

An efficient scheme of integer frequency offset estimate for orthogonal frequency division multiplexing （OFDM） systems is proposed based on a training symbol with several identical parts. In this scheme, the received training symbol is first reshaped into several sub-symbols.It shows that the reshaping process in-troduees time diversity multiplexing.After a special fast Fourier transform （FFT） algorithm is applied to the sub-symbol,the integer frequency is estimated by finding the maximum magnitude of the resulting fre-quency domain signal.To improve the estimate performance,diversity combining methods are presented to make full use of the multiple frequency domain sub-symbols.Compared to the traditional scheme, the proposed one has an improved estimate performance demonstrated by the computation simulation, while maintaining a very low complexity.     

小体量大数据

DT时代即将到来 近来,马云的"中国正迎来从IT(Internet Technology,互联网技术)时代到DT(Data Technology,数据技术)时代的变革"观点引发热议.现实中,IT的核心是计算机,而DT的核心是大数据.