RF Receiver Hardware Design

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Transcription:

RF Receiver Hardware Design Bill Sward bsward@rtlogic.com February 18, 2011

Topics Customer Requirements Communication link environment Performance Parameters/Metrics Frequency Conversion Architectures I/Q Demodulation Architectures Example Design Based on a Real Product Receiver RF Modeling My career history Page 2

Customer Requirements Who was my customer? My employer Various groups with similar but slightly different applications Requirements 70 MHz input center frequency Industry standard cpci form factor Detailed RF requirements coming up Internally generated requirements are often vague Ill-defined requirements can easily lead to schedule slips and cost over-runs Page 3

Communication Link Environment Variable Conditions Tx Receiver Signal Processing Data Tx Wireless (RF) link between transmitter and receiver Input signal to receiver may vary in amplitude Interference may be present RF spectrum is crowded (adjacent channel interference) Desire low Bit Error Rate (BER) at high data rates Design goal: Optimize receiver performance under variable conditions (in this presentation under variable signal amplitude only) Page 4

Receiver Performance Dependent on Signal Strength Small signal performance generally dictated by AWGN (w/o fading) Noise Bandwidth Noise Figure Signal-to-Noise ratio (SNR), Signal-to-Noise Density ratio (S/No) Eb/No Large signal performance generally dictated by receiver linearity Intermodulation Distortion Spectral spreading, re-growth, etc 3 rd Order Intercept Point Harmonic Distortion Amplitude Compression Receiver design can be optimized for Small signal performance Large signal performance A combination/balance of small and large signal performance Receiver Performance Page 5

Frequency Conversion Architectures RF Q Band Select Filter Image Reject Filter IF Bandpass FIlter PD I Baseband Super heterodyne 1 st Local Oscillator 1 st LO frequency = RF - IF (or RF + IF) 2 nd Local Oscillator 2 nd LO frequency = IF frequency RF Q Direct Conversion Band Select Filter PD I Baseband LO frequency = RF frequency Local Oscillator Page 6

Frequency Conversion Trade-offs Super heterodyne High performance, high cost Distributed frequency plan allows distributed filtering and gain Direct Conversion Benefits Fewer parts Image reject filter IF bandpass filter 1 st Local Oscillator Smaller and lower cost Direct Conversion Issues DC offsets LO leakage 2 nd order distortion 1/f noise (flicker noise) Page 7

DC Offsets in baseband I/Q signals Caused by LO self-mixing and baseband circuitry Direct Conversion Issues Offset amplitude varies with RF frequency and antenna effects Mitigated by compensation/calibration, near-zero IF, AC coupling, etc LO Leakage Out of Receiver LO is at RF frequency and cannot be filtered Leakage amplitude dependent upon isolation of components 2 nd Order Distortion with two input signals at frequencies f 1 and f 2 2 nd order distortion is at f 1 -f 2 and f 1 +f 2 f 1 - f 2 problematic when f 1 and f 2 are in-band and close in frequency Distortion is near DC and interferes with desired I/Q baseband signals 1/f Noise (flicker noise) is intrinsic in semiconductor devices Coupling of 1/f noise with desired signal is predominately at baseband Direct conversion has smaller signals (and more gain) at baseband SNR degradation is more pronounced as compared with super heterodyne Page 8

I/Q Demodulation Architectures Band Select Filter PD Q I LPF LPF A/D A/D DSP Analog I/Q Demodulation Local Oscillator Band Select Filter LPF A/D DSP Digital (DSP) I/Q Demodulation Local Oscillator Page 9

I/Q Demodulation Trade-offs Digital I/Q Demodulation I/Q gains are exactly equal and phase is exactly quadrature Requires A/D sample rate at least 2x modulation bandwidth Analog I/Q Demodulation I/Q gain and phase are not perfectly balanced Imbalances create distortion Requires A/D sample rate at least 1x modulation bandwidth For a given A/D converter capability, analog I/Q demodulation provides twice the modulation bandwidth at the expense of more hardware and higher distortion Page 10

IF Receiver Example: Requirements External Band Select Filter 70 MHz IF IF Receiver DSP Local Oscillator Input frequency is 70 MHz Modulation bandwidth up to 40 MHz (various data rates & modulation) Input signal amplitude -75 dbm to 0 dbm Input noise floor -150 dbm/hz to -135 dbm/hz (Not just thermal noise) Intermodulation distortion -60 dbc for signal inputs up to -10 dbm -50 dbc for signal inputs from -10 dbm to 0 dbm Page 11

IF Receiver Example: Architecture Selection Commercial A/D Converter technology provides 12 bits at 210 Msps Meets Nyquist criteria of greater than 2x the modulation BW (80 MHz) Digital I/Q demodulation architecture avoids imbalance distortion issues Over-sampling provides at least 5 samples per bit for high performance data demodulation and bit synchronization 75 db of signal amplitude variation requires analog gain control Gain required for adequate signal amplitude into A/D converter Consider input noise floor 40 MHz noise bandwidth => 76 db-hz Input noise density of -135 dbm/hz is -59 dbm (over 40 MHz) Receiver automatic gain control (AGC) operates on S+N Input SNR can be negative Page 12

IF Receiver Example: Critical Trade-offs Receiver must provide the necessary gain to bring the input signal to the optimum level into the A/D converter Too little gain => inadequate signal level into A/D Instantaneous dynamic range limited by A/D quantization noise floor Too much gain => excessive signal level into A/D With low SNRs, the A/D can saturate on noise spikes Increased intermodulation distortion Optimum level into A/D dependent upon SNR, noise statistics, signal characteristics, and number of bits in the A/D For small SNRs, Gaussian noise, sinewave input, and 12 bit A/Ds, the optimum amplitude into the A/D is about 14 db below A/D fullscale* * High Speed Analog-to-Digital Converters in Communication Systems: Terminology, Architecture, Theory, and Performance, TRW Corporation paper Page 13

IF Receiver Example: Design Approach IF Receiver product for a multitude of satellite communication applications Generic architecture consists of filters, amplifiers, variable attenuators, etc IF Input LPF Balun Transformer To A/D Model the cascade of receiver components to predict performance Follow signal, noise, and distortion levels through each component in the receiver chain Calculate receiver performance metrics such as noise figure and input intercept point Page 14

IF Receiver Example: Cascaded Metrics Noise Figure describes the SNR degradation caused by noise generated internally within the receiver Cascaded Noise Figure NF total = NF 1 + (NF 2-1)/G 1 + (NF 3-1)/(G 1 *G 2 ) + In this example design, the system noise performance is dictated by external noise floor over most of the input signal amplitude range Third Order Intercept Point quantifies the intermodulation distortion created within the receiver Cascaded Third Order Input Intercept Point IIP3 total = 1 / { (1/IP3 1 ) + (G 1 /IP3 2 ) + ((G1*G 2 )/IP3 3 ) + Page 15

IF Receiver Example: Cascaded Model Input signal power: -75 dbm -75 to 0 dbm input signal Input noise density: -150 dbm/hz Input SNR: -1.0 db (in 40 MHz bandwidth) Input Input Input Output Output Output Output Output Signal Comp 3rd Order Signal Comp 3rd Order 3rd Order Noise Noise Output Output Output Cascaded Gain NF Power Point ICP Power Point ICP Distortion Density Bandwidth Noise Pwr SNR SFDR Linear Linear IIP3 Component (db) (db) (dbm) (dbm) (dbm) (dbm) (dbm) (dbm) (dbm) (dbm/hz) (MHz) (dbm) (db) (db) Gain IIP3 (dbm) Lowpass filter -2.7 2.7-75 75-77.7 72.3-152.7 0.54 3.16E+07-37.7 Fixed Atten -2 2-77.7-79.7-154.6 40-78.6-1.1 0.63 1.00 Step atten -3 3-79.7 22 37-82.7 19 34-316.1-157.5 40-81.5-1.2 233.4 0.50 5.01E+03 Fixed Atten -2 2-82.7-84.7-159.4 40-83.3-1.4 0.63 1.00 Amplifier 15.4 3.7-84.7-4.9 9.6-69.3 10.5 25-257.9-143.6 40-67.6-1.7 188.6 34.67 9.12 Fixed Atten -3 3-69.3-72.3-146.6 40-70.6-1.7 0.50 1.00 0 0-72.3-72.3-146.6 40-70.6-1.7 1.00 1.00E+00 0 0-72.3-72.3-146.6 40-70.6-1.7 1.00 1.00 Amplifier 28 2.5-72.3-7 3-44.3 21 31-194.9-118.6 40-42.6-1.7 150.6 630.96 2.00 Fixed Atten -3 3-44.3-47.3-121.6 40-45.6-1.7 0.50 1.00 Transformer -0.5 0.5-47.3-47.8-122.1 40-46.1-1.7 0.89 1.00 Variable Gain Amp 32 7-47.8-10.5-15.8 21.5-90.4-90.1 40-14.1-1.7 74.6 1584.89 0.09 ADFS: 1.536 V assumed to be pk-pk 14 db backoff: 0.199526 linear Cascaded NF: 13.54 db set point: 0.306472 V assumed to be pk-pk Output power: -15.80 dbm ADC input load impedance: 200.0 ohms S+N: -11.84 dbm 1st stage NF: 13.4 db 2nd stage NF: 5.50 db I/Q voltage: 0.073 Vrms S+N voltage: 0.114 Vrms 1st stage NF: 21.9 linear 1st stage gain: 5.70 db I/Q voltage: 0.205 Vpk-pk S+N voltage: 0.324 Vpk-pk 2nd stage NF: 3.55 linear Output SNR: -1.7 db 1st stage gain: 3.72 linear Total gain: 59.2 db 2nd stage contribution: 6.86E-01 linear Total SFDR: 74.6 db based only on 3rd order distortion cascaded: 2.257E+01 linear 3rd stage NF: 10.50 db Page 16

IF Receiver Example: Modeled Eb/No Performance Output Eb/No vs. Input Signal Power (input noise floor is -150 dbm/hz) 80.0 70.0 60.0 50.0 Eb/No (db) 40.0 30.0 20.0 10.0 0.0-90 -80-70 -60-50 -40-30 -20-10 0 Input Power (dbm) 100 kbps 2 Mbps 10 Mbps 35 Mbps Page 17

IF Receiver Example: Modeled Eb/No Performance (con t) Output Eb/No vs. Input Signal Power (input noise floor is -135 dbm/hz) 90.0 80.0 70.0 60.0 Eb/No (db) 50.0 40.0 30.0 20.0 10.0 0.0-90 -80-70 -60-50 -40-30 -20-10 0 Input Power (dbm) 100 kbps 2 Mbps 10 Mbps 35 Mbps Page 18

IF Receiver Example: Modeled 3 rd Order Intermodulation Distortion Performance 3rd Order IMD vs. Input Signal Power 90 85 80 75 70 IMD (dbc) 65 60 55 50 45 40-60 -50-40 -30-20 -10 0 10 Input Power (dbm) noise floor -135 dbm/hz noise floor -150 dbm/hz Page 19

IF Receiver Example: Modeled Noise Figure Performance Noise Figure vs. Input Signal Power 50 45 40 35 NF (db) 30 25 20 15 10-75 -65-55 -45-35 -25-15 -5 Input Power (dbm) noise floor -135 dbm/hz noise floor -150 dbm/hz Page 20

IF Receiver Example: Modeled SNR Degradation Performance SNR Degradation 25.0 20.0 SNR Degradation (db) 15.0 10.0 5.0 0.0-90 -80-70 -60-50 -40-30 -20-10 0 10 Input Signal Power (dbm) noise floor = -135 dbm/hz noise floor = -150 dbm/hz Page 21

Questions Page 22

My Engineering Career BSEE 1983 from Iowa State University Analog and communications focus 1982 to 1989: Hughes Aircraft Company, Los Angeles Radar systems engineer primarily for RF and IF receivers 1989 to 1990: Research & Development Laboratories, Los Angeles Radar and RF engineer for receiver design 1990 to 1994: NAVSYS, Monument, CO GPS and RF engineer, project management, engineering management 1994 to 1996: XEL Communications, Aurora, CO CATV data modem design MSEE from UCCS 1991-1996 1996 to 2001: Mission Research Corporation, Colorado Springs Fading channel emulators, military communications and radar systems, mgmt 2001 to 2003: Xircom/ Intel, Colorado Springs Commercial wireless modems, mgmt 2003 to present: RT Logic, Colorado Springs Satellite communications, RF data links, radar, mgmt MBA classes from UCCS 2009-present Page 23

Career Dialog What s it like to be an engineer? Do I really need to remember all that calculus stuff? What career paths are available? What s important and what s not? Salary Challenge Title Writing Math Speaking Company culture Co-workers Type of work In hindsight, would I do anything different? What if I don t like engineering once I start working? How do I get, and hold, an engineering job? Page 24