Title : 
Highly scalable implementation of a robust MMSE channel estimator for OFDM multi-standard environment
         
        
            Author : 
Diaz, Isael ; Sathyanarayanan, Balaji ; Malek, Alirad ; Foroughi, Farzad ; Rodrigues, Joachim Neves
         
        
            Author_Institution : 
Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
         
        
        
        
        
        
            Abstract : 
In this paper a VLSI implementation of a highly scalable MMSE (Minimum Mean Square Estimator) is presented with the ultimate goal of demonstrating the potential of MMSE as enabler for multi-standard channel estimation. By selecting an appropriate implementation, a complexity reduction of 98% is achieved when compared to Time-Domain Maximum Likelihood Estimation (TDMLE), whereas low power consumption is accomplished by implementing a low-power-mode. The architecture is capable of performing Least Square (LS) estimation and MMSE compliant with 3GPP LTE (Long Term Evolution), IEEE 802.11n (WLAN), and DVB-H (Digital Video Broadcast for Handheld Devices), The estimator is synthesized using a 65nm low-leakage high-threshold standard-cell CMOS library. The design occupies an area of 0.169 mm2, is capable of running upto 250 MHz, providing a throughput of 78M estimates/second. Simulations under a typical LTE reception show that the implementation dissipates 4.9μW per sample.
         
        
            Keywords : 
3G mobile communication; CMOS integrated circuits; Long Term Evolution; OFDM modulation; VLSI; channel estimation; digital video broadcasting; least mean squares methods; maximum likelihood estimation; 3GPP LTE; DVB-H; IEEE 802.11n; LTE reception; MMSE compliant; OFDM multistandard environment; TDMLE; VLSI implementation; WLAN; digital video broadcast for handheld devices; high-threshold standard-cell CMOS library; least square estimation; long term evolution; minimum mean square estimator; multistandard channel estimation; robust MMSE channel estimator; time-domain maximum likelihood estimation; Channel estimation; Computer architecture; Digital video broadcasting; Estimation; OFDM; Random access memory; Standards;
         
        
        
        
            Conference_Titel : 
Signal Processing Systems (SiPS), 2011 IEEE Workshop on
         
        
            Conference_Location : 
Beirut
         
        
        
            Print_ISBN : 
978-1-4577-1920-2
         
        
        
            DOI : 
10.1109/SiPS.2011.6088995