logging in or signing up ee247 Paola Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 319 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 09, 2008 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript The Design of aHigh-BandwidthSigma-Delta Modulator: The Design of a High-Bandwidth Sigma-Delta Modulator Brian Limketkai and Bret VictorProject Motivation and Goals: Project Motivation and Goals High demand for high data rate wireless devices IEEE standard for wireless LAN: 802.11a ADC specs: Nyquist rate of 20 MS/s Resolution of 7 to 10 bits Low power Can we use a Sigma-Delta converter? Robust against circuit imperfections Not traditionally used in high-bandwidth applicationsSigma-Delta Specs: Sigma-Delta Specs Dynamic Range: > 62 dB (10 bits) Ideal maximum SNR for modulator of order L and oversampling ratio OSR: OSR chosen to be 16: fs = 320 MHz L chosen to be 4 Predicts ideal dynamic range of 80 dB Cascade vs Single-Loop: Cascade vs Single-Loop Matching Single-loops very robust against circuit imperfections Cascades use digital filters for error cancellation, so better circuits required Stability Cascades guaranteed to be stable Single-loops difficult to stabilize SNR degradation, especially at low OSR2-1-1 Cascade Topology: 2-1-1 Cascade Topology 1 d3 1 d2 1 d1 1 c3 1 c2 1 c1 1 b3 1 b2 1 b1 2 a4 1 a3 1 a2 1 a1 Zero-Order Hold Scope1 Scope 4 Scope 3 Scope 1 Quantizer 3 Quantizer 2 Quantizer 1 out4 Output 3 out3 Output 2 out2 Output 1 Limit 4 Limit 3 Limit 2 Limit 1 az -1 1-bz -1 Integrator 4 az -1 1-bz -1 Integrator 3 az -1 1-bz -1 Integrator 2 az -1 1-bz -1 Integrator 1 Input Signal Experimental Dither 3 Experimental Dither 2 Scaling: Scaling 2 d3 2 d2 1 d1 1 c3 1 c2 1 c1 1 b3 1/2 b2 2 b1 1/2 a4 1/2 a3 1/2 a2 1/2 a1 Zero-Order Hold Scope1 Scope 4 Scope 3 Scope 1 Quantizer 3 Quantizer 2 Quantizer 1 out4 Output 3 out3 Output 2 out2 Output 1 Limit 4 Limit 3 Limit 2 Limit 1 az -1 1-bz -1 Integrator 4 az -1 1-bz -1 Integrator 3 az -1 1-bz -1 Integrator 2 az -1 1-bz -1 Integrator 1 Input Signal Experimental Dither 3 Experimental Dither 2 a1 = a2 a4 = 2 a1 a3 Final Scaling: Final Scaling 2 d3 2 d2 1 d1 1/2 c3 1/2 c2 1 c1 1/2 b3 1/4 b2 1 b1 1/2 a4 1/2 a3 1/2 a2 1/2 a1 Zero-Order Hold Scope1 Scope 4 Scope 3 Scope 1 Quantizer 3 Quantizer 2 Quantizer 1 out4 Output 3 out3 Output 2 out2 Output 1 Limit 4 Limit 3 Limit 2 Limit 1 az -1 1-bz -1 Integrator 4 az -1 1-bz -1 Integrator 3 az -1 1-bz -1 Integrator 2 az -1 1-bz -1 Integrator 1 Input Signal Experimental Dither 3 Experimental Dither 2 Noise: Noise Thermal Noise M is oversampling ratio Quantization Noise is the converter LSB Quantization noise limited for OSR < 16 OSR noise power (dB) C = 100 fF C = 200 fF C = 500 fF C = 1 pF thermal noise quantization noiseModeling Analog Components: Modeling Analog Components Settling time Settling accuracy Single-Sampling-Cap Integrator vin vfb vout Cs Cp Ci 1 1 2 2Amplifier Specifications: Amplifier Specifications Not too difficult Converter power 40 mWNoise Shaping in Simulink Model: Noise Shaping in Simulink Model 0 0.01 0.02 0.03 0.04 0.05 0.06 -180 -160 -140 -120 -100 -80 -60 signal bandwidth 2nd order 3rd order 4th order output power (dBFS) frequency / fs Noise Shaping in Spectre Model: Noise Shaping in Spectre Model 0 0.01 0.02 0.03 0.04 0.05 0.06 -180 -160 -140 -120 -100 -80 -60 output power (dBFS) frequency / fs signal bandwidth 2nd order 3rd order 4th orderSNR vs Input Power: SNR vs Input Power -80 -70 -60 -50 -40 -30 -20 -10 0 -10 0 10 20 30 40 50 60 70 SNR (dB) input power (dBFS) 65 dB dynamic range Conclusions: Conclusions Use of Sigma-Deltas feasible for wireless systems Limited by quantization noise, not thermal noise Circuit specifications are not too tough You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
ee247 Paola Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 319 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: January 09, 2008 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript The Design of aHigh-BandwidthSigma-Delta Modulator: The Design of a High-Bandwidth Sigma-Delta Modulator Brian Limketkai and Bret VictorProject Motivation and Goals: Project Motivation and Goals High demand for high data rate wireless devices IEEE standard for wireless LAN: 802.11a ADC specs: Nyquist rate of 20 MS/s Resolution of 7 to 10 bits Low power Can we use a Sigma-Delta converter? Robust against circuit imperfections Not traditionally used in high-bandwidth applicationsSigma-Delta Specs: Sigma-Delta Specs Dynamic Range: > 62 dB (10 bits) Ideal maximum SNR for modulator of order L and oversampling ratio OSR: OSR chosen to be 16: fs = 320 MHz L chosen to be 4 Predicts ideal dynamic range of 80 dB Cascade vs Single-Loop: Cascade vs Single-Loop Matching Single-loops very robust against circuit imperfections Cascades use digital filters for error cancellation, so better circuits required Stability Cascades guaranteed to be stable Single-loops difficult to stabilize SNR degradation, especially at low OSR2-1-1 Cascade Topology: 2-1-1 Cascade Topology 1 d3 1 d2 1 d1 1 c3 1 c2 1 c1 1 b3 1 b2 1 b1 2 a4 1 a3 1 a2 1 a1 Zero-Order Hold Scope1 Scope 4 Scope 3 Scope 1 Quantizer 3 Quantizer 2 Quantizer 1 out4 Output 3 out3 Output 2 out2 Output 1 Limit 4 Limit 3 Limit 2 Limit 1 az -1 1-bz -1 Integrator 4 az -1 1-bz -1 Integrator 3 az -1 1-bz -1 Integrator 2 az -1 1-bz -1 Integrator 1 Input Signal Experimental Dither 3 Experimental Dither 2 Scaling: Scaling 2 d3 2 d2 1 d1 1 c3 1 c2 1 c1 1 b3 1/2 b2 2 b1 1/2 a4 1/2 a3 1/2 a2 1/2 a1 Zero-Order Hold Scope1 Scope 4 Scope 3 Scope 1 Quantizer 3 Quantizer 2 Quantizer 1 out4 Output 3 out3 Output 2 out2 Output 1 Limit 4 Limit 3 Limit 2 Limit 1 az -1 1-bz -1 Integrator 4 az -1 1-bz -1 Integrator 3 az -1 1-bz -1 Integrator 2 az -1 1-bz -1 Integrator 1 Input Signal Experimental Dither 3 Experimental Dither 2 a1 = a2 a4 = 2 a1 a3 Final Scaling: Final Scaling 2 d3 2 d2 1 d1 1/2 c3 1/2 c2 1 c1 1/2 b3 1/4 b2 1 b1 1/2 a4 1/2 a3 1/2 a2 1/2 a1 Zero-Order Hold Scope1 Scope 4 Scope 3 Scope 1 Quantizer 3 Quantizer 2 Quantizer 1 out4 Output 3 out3 Output 2 out2 Output 1 Limit 4 Limit 3 Limit 2 Limit 1 az -1 1-bz -1 Integrator 4 az -1 1-bz -1 Integrator 3 az -1 1-bz -1 Integrator 2 az -1 1-bz -1 Integrator 1 Input Signal Experimental Dither 3 Experimental Dither 2 Noise: Noise Thermal Noise M is oversampling ratio Quantization Noise is the converter LSB Quantization noise limited for OSR < 16 OSR noise power (dB) C = 100 fF C = 200 fF C = 500 fF C = 1 pF thermal noise quantization noiseModeling Analog Components: Modeling Analog Components Settling time Settling accuracy Single-Sampling-Cap Integrator vin vfb vout Cs Cp Ci 1 1 2 2Amplifier Specifications: Amplifier Specifications Not too difficult Converter power 40 mWNoise Shaping in Simulink Model: Noise Shaping in Simulink Model 0 0.01 0.02 0.03 0.04 0.05 0.06 -180 -160 -140 -120 -100 -80 -60 signal bandwidth 2nd order 3rd order 4th order output power (dBFS) frequency / fs Noise Shaping in Spectre Model: Noise Shaping in Spectre Model 0 0.01 0.02 0.03 0.04 0.05 0.06 -180 -160 -140 -120 -100 -80 -60 output power (dBFS) frequency / fs signal bandwidth 2nd order 3rd order 4th orderSNR vs Input Power: SNR vs Input Power -80 -70 -60 -50 -40 -30 -20 -10 0 -10 0 10 20 30 40 50 60 70 SNR (dB) input power (dBFS) 65 dB dynamic range Conclusions: Conclusions Use of Sigma-Deltas feasible for wireless systems Limited by quantization noise, not thermal noise Circuit specifications are not too tough