Abstract
This study considered a receiver equalization problem in wireless communication area. Receiver equalizations in OFDM proceeding through sub-carriers variedness in frequency guarantee transmit system bit error rate thus are essential. E.g., Zero-Forcing (ZF) equalization, Minimal Mean Square Equalization (MMSE), which can also be considered as channel Estimation (EE) and detection schemes. However, some methods like adaptive equalizations must count priority transceiver information thus may be not practical although they raise performances for receiver. This study considers equalization and detection problems through a sub-carriers restructuring method to omit any complicated extra equalization in receiver except ZF equalization following the elemental LS channel estimation. Optimal constraints model is utilized which leads to an optimal sub-carriers derivation, moreover, we iteratively set up constraints model and give derivation, then under our new sub-carriers no extra equalization is needed. Simulations verify the novel method can approach MMSE equalization although it may bring transceiver complexity.
Highlights
In OFDM system, receiver equalization technical has guaranteed the compensation of bit error (Baskaran et al, 2007; Lee et al, 2012; Eghbali et al, 2011; Bui and Hatzinakos, 2005)
The common investigated equalizers are mainly based on channel estimation, such as Zero Forcing (ZF), Minimal Mean Square Equalization (MMSE) channel equalizer
BER performance: See Fig. 4, we find that our iterative algorithm make BER performance approach the performance of MMSE channel estimation in point to point communication and greatly surpass the performance of LS channel estimation in convention, the latter is influenced by energy release caused by DFT interpolation channel estimation
Summary
In OFDM system, receiver equalization technical has guaranteed the compensation of bit error (Baskaran et al, 2007; Lee et al, 2012; Eghbali et al, 2011; Bui and Hatzinakos, 2005). The common investigated equalizers are mainly based on channel estimation, such as Zero Forcing (ZF), MMSE channel equalizer. Due to the fact that OFDM adopts multi-points IFFT to modulate and may encounter multi-paths fading channel in time domain, investigations of OFDM equalization are mainly proceeded in frequency domain (Song et al, 2013; Feng et al, 2013; Lun et al, 2009). By contrast to only once channel estimation equalization, if it is easy to access transceiver priority information, we can do equalization twice for receiver, which compensate the bit error a second time in receiver.
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