Low complexity reconfigurable complex filters for PAPR reduction of OFDM signals: analysis, design and FPGA implementation

Low complex implementation of GFDM system using USRP

“…The proposed scheme results in low complexity by using the block circulant nature and hence is resulting in the lowest complexity as seen in Table 2. We can consider the number of DSP 48 multipliers on the FPGA of USRP for complexity analysis [20]. By considering and , the proposed scheme would require around 41% lesser number of multipliers when compared with the MMSE receiver.…”

Iterative algorithm for designing asymptotically optimal uniform scalar quantisation of the one‐sided Rayleigh density

“…Note that for σ = 1, η opt is equal to x max opt , which means that determining η opt is equivalent to designing asymptotically optimal USQ for the one-sided Rayleigh density having σ = 1. We initialise our algorithm by neglecting η (i-1) in Equation (12):…”

“…This implies that studying USQ for the one-sided Rayleigh density with the goal to maximise its performance would be important for digital-to-analogue and analogue-to-digital conversion (DAC/ADC) in diversity systems, OFDM systems and medical image processing. Also, as shown in [9][10][11][12][13], due to Rayleigh distribution of OFDM signals, the peak power can be much larger than the average power resulting in the high value of peak-to-average power ratio (PAPR) that can adversely affect the OFDM system. The value of PAPR can be reduced by using clipping and filtering that are highly correlated with DAC/ADC performance, particularly with the signal-to-quantisation-noise ratio (SQNR) [9][10].…”

“…Detailed analyses were conducted in the field of USQ for some of these densities. However, to the best of our knowledge, USQ for the one-sided Rayleigh density has not been thoroughly studied although this density is widely used to model: fading in diversity systems [7,8], the amplitude of orthogonal frequency division multiplexing (OFDM) signals [9][10][11][12][13] and the noise variance in magnetic resonance imaging [14][15][16]. This implies that studying USQ for the one-sided Rayleigh density with the goal to maximise its performance would be important for digital-to-analogue and analogue-to-digital conversion (DAC/ADC) in diversity systems, OFDM systems and medical image processing.…”

“…) 3: δ D (i) : = while δ D (i) > ε do 5: i : = i+16: η (i-1) : = η (i) and D(i−1) compute η (i) using Equation(12) 8: compute D(i) N and δ D…”