Research And Implementation Of Parameter Of Thereceiver Front-End Of SC-FDE System

Broadband wireless access systems are likely to face combating multipath delay spread during radio propagation in residential and commercial environments. Single-carrier frequency domain equalization (SC-FDE) technology can not only effectively combat against frequency selective fading channel, owing similar low complexity with orthogonal frequency division multiplexing (OFDM), but also compensate for the shortcomings of orthogonal frequency division multiplexing system (OFDM) such as high PAPR and sensitivity to frequency offset. It has been an important component of physical layer technology of broadband wireless access system, and has been included in IEEE802.16a (WIMAX) standard. SC-FDE has became one of the core technology of the fourth-generation (4G) mobile communication system.Wideband multiple-input multiple-output (MIMO) technology aims to transmit signals containing different information on a different antenna, which enhances the spectral efficiency. Without increasing the antenna radiation power and spectrum resources, MIMO can exponentially increase the channel capacity. The combination of MIMO and SC-FDE overcomes the disadvantage of low spectrum utilization rate of traditional single-input single-output (SISO) frequency domain equalization (SC-FDE), and becomes the hotspot of the next generation mobile communication systems.Unlike ordinary time domain equalization (TDE), single carrier frequency domain equalization (SC-FDE) systems need to know the attenuation factor of phase and amplitude information of each sub-channel, so the channel estimation for single carrier frequency domain equalization (SC-FDE) system is an essential part and will directly affect the performance of communication systems. It has became one of the key research.Firstly, the article focuses on the SC-FDE and MIMO technology, and derives single-carrier frequency domain equalization system performance and MIMO channel capacity by calculating and analyzing. Secondly, the article researches channel estimation and noise variance estimation algorithm based on pilot, and studies iterative channel estimation based on Turbo coding. Finally, the article takes TI C6678high-performance floating-point DSP as a carrier, and focuses on detailed description of the implementations and optimization of channel estimation, iterative channel estimation and noise variance estimation on multi-core DSP. The article also focuses on a variety of DSP optimization strategies.