A 1.5V, 1.5GHz CMOS Low Noise Amplifier Derek K. Shaeffer and Thomas H. Lee Stanford University Stanford University Outline • LNA Architecture / RF Noise • Experimental Results • Summary and Conclusions Stanford University Simple CMOS Noise Model vg2 Cgd Rg Channel Thermal Noise + Cgs _ vgs gmvgs id2 ro • Channel thermal noise is dominant. i = 4 kTBγg d 0 2 d • Gate resistance minimized by good layout. Stanford University Channel Thermal Noise • Current HSPICE Implementation: 8 i = kTBg m 3 2 d (NLEV < 3) ( ) 2 8 1 + + a a id2 = kTB ⋅ K ' V gs − VT GDSNOI 3 1+ a • BSIM-3 Implementation: i = 2 d Stanford University 4 kT µeff 2 eff L Q inv (NLEV = 3) Vds a = 1− Vdsat How To Get 50Ω Rf1 Zin Zin Zin Zin RL Rf2 Dual Feedback Zin = Rt Resistive Termination R f 1Rf 2 Need high gain. Stability problems. Stanford University Ls 1/gm Termination 1 gm Z in = Rt Zin = Poor NF. NF > 3dB (γ>1) Inductive Degeneration Re[Z in ] = gm L C gs s Narrowband. LNA Input Stage gm 1 Ls ≈ ωT Ls + Zin = s Ls + Lg + sCgs Cgs ( G m ,eff ) g m1 = g m1Qin = ω C gs ( Rs + ωT Ls ) ωT ωT = = ωT Ls 2ω Rs ω Rs 1 + Rs Note: Gm,eff is independent of gm1! Stanford University Zin Lg Vbias M2 M1 Ls Noise Factor A common form A better form γ g d 0 Rsω 2 C gs2 Rl + + F =1+ Rs Rs g m2 Rg ω Rl Rg + + γg d 0 Rs F = 1+ Rs Rs ωT • Reducing gd0, Increasing Qin lowers F! • Achieving low F involves linearity tradeoff. V gs = Qin V s • Technology Scaling is Key. • Problem : The Free Lunch Principle Stanford University 2 Induced Gate Effects Vgs Ig G S D • Gate Noise Current • Real Component of Zg Stanford University Vds Equivalent Gate Circuit _ + + Vgs _ + ig2 gg Cgs -OR- Vgs _ vg2 rg Cgs 2 2 ω Cgs 1 1 2 2 gg = rg = v g = 4 kTB δ rg ig = 4 kTB δ g g 5 gd 0 5 gd 0 “Blue” Noise “White” Noise • δ (∼ 4/3) modified by hot electron effects • ig2 partially correlated with id2 (c = 0.395j) • ig2 and gg not modeled in HSPICE Stanford University Revised Noise Factor Lg vl2 Rl v g2 Rg 2 iout 2 g i Rs vs2 gg Additional Noise Source ω Rl + + γg d 0 Rs F = 1+ Rs Rs ωT Rg gmvgs id2 Ls 2 δα 2 δα 2 2 1 + QL ] QL c + [ 1 + 2 5γ 5γ (At Resonance) Stanford University Cgs + vgs _ Noise Factor Terms ω Rl + + γg d 0 Rs F = 1+ Rs Rs ωT Rg QL = ( ω Ls + L g Rs )= 1 ≈ 2 * Qin ω Rs C gs gm α = ≤1 gd 0 c= i g id* ig2 id2 2 = 0.395 j Stanford University δα 2 δα 2 2 1 + QL ] QL c + [ 1 + 2 5γ 5γ Q of the Input Circuit Decreases with shorter channels Gate / Drain Correlation Factor Minimum Noise Factor ∂F Take = 0 to find the condition for minimum F: ∂WM1 QL ,opt Fmin = 1 + 4 δγ 5 5γ . = 1+ 2 ≥ 187 δα ω δα 2 c + 1+ 5γ ωT Long Channel Values ω . ≥ 1 + 133 ωT Note: Worst-Case Fmin = 4 (6dB) when gm= gg. Stanford University Architecture / Noise Summary • MOS Device has gate current noise in addition to drain current noise. Optimum Zs exists. Power savings • Optimum Qin relatively large. and lower F by reducing WM1 for Qin < Qopt. • HSPICE models of MOS noise are inadequate. • Induced gate effects are not modeled at all. • Hot Electron effects influence the noise power spectral density of channel-related noise sources. Stanford University Outline • LNA Architecture / RF Noise • Experimental Results • Summary and Conclusions Stanford University Complete LNA Schematic Vdd Lvdd Lb2 Input Bias Tee Vbias Lb1 Rs Output Bias Tee Vdd Cb2 M4 Ld Off Chip Matching Cb1 Tm Lg M2 Lout M3 M1 Vs Cm Stanford University Ls Lgnd To Spectrum Analyzer Die Photo Stanford University S21 Marker 2 Peak S21 22dB Stanford University S11 VSWR 1.38 Marker 2 Stanford University S12 Marker 2 Null @ 1.5GHz Stanford University Reverse Isolation Ld Lg 1 M2 Cgd3 Lout M3 3 M1 Cg1+Cpad Cg2 Ls Cd Cpad Substrate Node Lgnd Stanford University 2 • Substrate tied to lowest inductance signal ground. • Parasitic capacitances from spiral inductors and pads degrade reverse isolation. • Simulation with parasitics shows null in S12 as seen in experimental data. Noise Figure / S21 vs. Vdd 30.00 NF / S21 (dB) 25.00 20.00 3.5dB NF / 22dB S21 15.00 10.00 5.00 Vdd (V) Stanford University 2.00 1.90 1.80 1.70 1.60 1.50 1.40 1.30 1.20 1.10 1.00 0.00 Linearity - IP3 30.00 1dB Comp. = -22dBm (Input) Output Power (dBm) 20.00 10.00 0.00 -10.00 -20.00 -30.00 -40.00 IP3 = -9.3dBm (Input) -50.00 -60.00 Source Power (dBm) Stanford University -6.00 -8.00 -10.00 -12.00 -14.00 -16.00 -18.00 -20.00 -22.00 -24.00 -26.00 -28.00 -30.00 -32.00 -34.00 -36.00 -70.00 Outline • LNA Architecture / RF Noise • Experimental Results • Summary and Conclusions Stanford University Performance Summary Frequency Noise Figure S21 IP3 (Input) 1dB Compression (Input) 1.5GHz 3.5dB 22dB -9.3dBm -22dBm Supply Voltage Power Dissipation First Stage 1.5V 30mW 7.5mW Technology Die Area 0.6µm CMOS 0.12 mm2 Stanford University Conclusions • • • • CMOS is suitable for low noise above 1GHz. 3.5dB NF is lowest to date for CMOS above 1GHz. 1dB NF can be expected with current generation. Current CMOS noise models, as in HSPICE, are inadequate for accurate simulation of RF noise. • Significant noise contributors are absent from the models. • Short channel effects have not been properly accounted for. • More research is required. Stanford University Acknowledgments Stanford Center for Integrated Systems Air Force Office of Scientific Research Howard Swain of Hewlett Packard for many helpful discussions on CMOS noise Stanford University