Rf and if digitization in Radio Receivers: Theory, Concepts, and Examples



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2.3  Important Specifications  

In this section, theoretical signal-to-noise ratio (SNR) due to quantization noise and aperture 

jitter is discussed. Practical specifications for real ADCs are then presented.  

2.3.1  Theoretical Signal-to-Noise Ratio Specifications  

For radio receiver applications where the amplitude of the desired signal falls within the ADCs 

FSR, and the bandwidth of the desired signal is equal to f

s

/2, the SNR of an ADC is a useful 

specification. The theoretical maximum SNR of ADCs generally is assumed to be 6B (dB), 

where B is the number of bits of resolution of the ADC. A more precise expression providing the 

maximum possible theoretical SNR can be derived based on some assumptions about the noise 

and the input signal. First, it is assumed that the noise present is due to quantization error only. 

The amplitude of this quantization noise is assumed to be a random variable uniformly 



 

11 


distributed over one quantization step. Assuming a sinusoidal input with an amplitude equal to 

the FSR of the ADC, the maximum possible theoretical SNR is given as  

 

SNR = 6.02B + 1.76 + 10 log



10

 







f



s

2f

max

  (dB



(1) 

where f



s

 is the sampling frequency and f



max

 is the maximum frequency of the input analog signal 

[2],[9]. The commonly stated theoretical SNR of 6B (dB) is an approximation to this equation 

when f



s

 = 2f



max

 and the 1.76 dB is neglected. From this equation, note that as the sampling 

frequency is increased beyond 2f

max

, the SNR increases. This occurs because the quantization 

noise power, which is a fixed amount and independent of bandwidth (P

qn

 = q

2

/12R), is spread out 



over an increasingly wider band as the sampling frequency is increased. This lessens the amount 

of the quantization noise that falls within the 0 to f



s

/2 band. Figure 4 shows this phenomenon. 

Consequently, oversampling increases the maximum possible SNR. Such oversampling is 

sometimes used to realize a greater maximum SNR than at first appears possible. An 8-bit ADC, 

with a sampling rate of 20 Msamples/s, for example, can provide 68 dB rather than 48 dB of 

maximum SNR for 100-kHz signals in the passband if appropriate digital filtering is used to 

recover the 100-kHz signal.  

 

Figure 4. Frequency-spreading of quantization noise power due to oversampling. 



Besides being limited by the quantization step size (resolution), the SNR of the ADC also is 

limited by aperture jitter. Aperture jitter is the variation in time of the exact sampling instant. 

Aperture jitter can be caused externally by jitter in the sampling clock, or internally since the 

sampling switch does not open at precise times. Aperture jitter causes a phase modulation of the 

sampled signal and thus results in an additional noise component in the sampled signal [10]. The 

 

A



 

A

 



P

o

w



er

 

P



o

w

er



 

f

s



 =  f

max


  

P

qn



=

q

 



1 R

 

 



f

s

 



=f

max


 

0

 



f

 

0



 

f

 



f

max


 

fs

 



 

f

s



 ≫  f

max


  

P

qn



=

q

 



1 R

 



 

12 


maximum analog input frequency of the ADC is limited by this aperture jitter since the SNR due 

to aperture jitter (SNR

aj

) degrades as the input frequency increases. The SNR



aj

 is given as  

 

SNR


aj

 = 20 log

10







1

2π f



max

t

a

 

where t



a

 is the aperture jitter of the ADC [2]. For sampling at f



s

=2f



max

, both the SNR due to 

quantization noise and the SNR due to aperture jitter can be combined to give the overall 

SNR [11].  




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