Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Principles of mobile communication (2nd ed.)
Principles of mobile communication (2nd ed.)
Digital Filters and Signal Processing: With MATLAB Exercises
Digital Filters and Signal Processing: With MATLAB Exercises
Microwave Mobile Communications
Microwave Mobile Communications
Digital Filters and Signal Processing
Digital Filters and Signal Processing
Determining appropriate precisions for signals in fixed-point IIR filters
Proceedings of the 40th annual Design Automation Conference
IEEE Transactions on Wireless Communications
A WISE method for designing IIR filters
IEEE Transactions on Signal Processing
Autoregressive modeling for fading channel simulation
IEEE Transactions on Wireless Communications
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A channel simulator is an essential component in the development and accurate performance evaluation of wireless systems. A key technique for producing statistically accurate fading variates is to shape the flat spectrum of Gaussian variates using digital filters. This paper addresses various challenges when designing real and complex spectrum shaping filters with quantized coefficients for efficient realization of both isotropic and nonisotropic fading channels. An iterative algorithm for designing stable complex infinite impulse response (IIR) filters with fixed-point coefficients is presented. The performance of the proposed filter design algorithm is verified with 16-bit fixed-point simulations of two example fading filters.