Multi-Objective Optimization Using Evolutionary Algorithms
Multi-Objective Optimization Using Evolutionary Algorithms
EH '05 Proceedings of the 2005 NASA/DoD Conference on Evolvable Hardware
Multi-Objective Design Space Exploration Methodologies for Platform based SOCs
ECBS '06 Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems
AHS '06 Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems
Optimum wordlength search using sensitivity information
EURASIP Journal on Applied Signal Processing
System Level Modelling of Reconfigurable FFT Architecture for System-on-Chip Design
AHS '07 Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Efficient FFT and equalizer implementation for OFDM receivers
IEEE Transactions on Consumer Electronics
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The precision and power consumption of pipelined FFT processors are highly affected by the wordlengths in fixed-point application systems. Due to nonconvex space, wordlength optimization under multiple competing objectives is a complex, time-consuming task. This paper proposes a new approach to solving the multi-objective evolutionary optimization design of pipelined FFT processors for wireless OFDM receivers. In our new approach, the number of design variables can be significantly reduced. We also fully investigate how the internal wordlength configuration affects the precision and power consumption of the FFT by setting the wordlengths of input and FFT coefficients to be 12 and 16 bits in fixed-point number type. A new system-level model for representing power consumption of the pipelined FFT is also developed and utilized in this paper. Finally, simulation results are provided to validate the effectiveness of applying the nondominated sorting genetic algorithm to the multi-objective evolutionary design of a 1024-point pipelined FFT processor for wireless OFDM receivers.