NASA Technical Reports Server (NTRS) 19860005008: Analog FM/FM versus digital color TV transmission aboard space station

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NASA-TM-87578 19860005008 

NASA Technical Memorandum 87578 


ANALOG FM/FM VS. DIGITAL COLOR TV TRANSMISSION 
ABOARD SPACE STATION 


MICHAEL M. HART 


OCTOBER 1985 


IWV5A 

National Aeronautics and 
Space Administration 

Langley Research Center 

Hampton, Virginia 23665 




Summary 

Langley Research Center is developing an integrated fault tolerant 
network to support data, voice, and video communications aboard Space 
Station. The question of transmitting the video data via dedicated analog 
channels or converting it to the digital domain for consistency with the 
rest of the data is addressed. The recommendations in this paper are based 
on a comparison in the signal-to-noise ratio (SNR), the type of video 
processing required aboard Space Station, the applicability to Space 
Station, and how they integrate into the network. 

Introduction 

For Space Station rendezvous and proximity operations, a video image 
system will provide man with enhanced and augmented capability for man-in- 
the-loop manipulation and observations. As the Space Station matures, some 
of these operations will become nearly autonomous with man monitoring and a 
video system could be a supportive element for this autonomy trend. In 
addition, the Orbital Maneuvering Vehicle (OMV) has a remotely piloted 
vehicle (RPV) requirement implying potentially extensive video for viewing. 
Obviously, full motion and high fidelity video images are required to 
perform the above task. 

Langley Research Center took on the task of developing a fault-tolerant 
integrated network for Space Station. The transmission of video data to and 
from points in the Space Station will be supported by the network. 

Typically, the output of video cameras is an analog signal. Hence, the 
transmission of these data can be accomplished via dedicated analog channels 
or by first converting the data to the digital domain before transmitting it 
over the network. That leads to a question to be resolved: Which method 

will be most beneficial? Although most data transmissions are accomplished 





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in the digital domain, further analysis and trade off must be considered 
before the choice is made. This paper compares the FM and the PCM in terms 
of signal -to-noise ratio (SNR), their applicability to Space Station, which 
is most suited for the type of video processing needed aboard Space Station, 
and how they integrate to the rest of the network. Based on the above 
criteria, a recommendation is presented. 

Bandwidth and Signal-to-Noise Ratio 

First, the signal -to-noise ratio will be derived by using an ideal 
unrealizable communication system implied by the Shannon-Hartley law to 
establish a figure of merit. Then a comparison between the practical PCM 
and FM systems will be presented, particularly in the exchange of bandwidth 
(BW) for signal-to-noise ratio (SNR). Suppose we have a communication 
system (fig. 1) transmitting signal X(t) bandlimited to f x Hz. Further, 
suppose that the system is ideal, the channel bandwidth is By, and the 
noise power spectral density is r\/2. Also, let us assume that the average 
signal power at the receiver is S r and that the desired value of the 
output SNR is ( S/N )<-) . The channel capacity of such a system is given by 
Shannon-Hartley law as 

C = By 1 ogg [ 1 + (S/N) r ] 0) 

where ( S/N ) r is the SNR at the receiver input. At the receiver output, 
the information rate can be no greater than Rmax> where 


Rmax 2. f x ^°92^ + ( S/N ) d ] 


( 2 ) 



An optimum or ideal system is defined as one that is operating at its 
capacity, with maximum output rate that is 

**max = C 

or B t log 2 Cl + (S/N ) r ] = f x log 2 Cl + (S/N) d ] 
solving for (S/N) d we have 
(S/N ) d = [1 + (S/N) r ] B T/f x - 1 
* Cl + (S/N) r )] B T/f x 

when the SNR is large. In eq. (3) the input SNR (S/N) r is given by 
(S/N ) r = J_r 

nBj 

The ratio of By/f is called the bandwidth expansion ratio (or BW 

X 

compression ratio if the ratio is less than one). 

Let H = By /f x 

and a = Sr 

nf x 


then eq. (3) can be rewritten as 



4 


(S/N) d - [1 + - 1 



( 5 ) 


if the SNR is 1 arge. 

Eq. (5) shows that, in an ideal system, the SNR at the output and the 
bandwidth are exponentially related. This means that doubling the 
transmission BW of an ideal system squares the output SNR. Alternately, 
since a = Sr/pf x is proportional to the transmitted power Sj, the 
transmitted power can be reduced to the square root of its original value 
without reducing ( S/N ) ^ by increasing the bandwidth by a factor of 2. 

The primary goal of the ideal system is to achieve reliable information 
transfer in the context of an information theoretic approach. In analog 
systems it is very difficult to assess the information rate. The primary 
concern in such applications might be SNR, threshold power, and BW 
requirement rather than channel capacity and its utilization. In fig. (1), 
if we assume that the system is operating with large SNR, the FM and PCM 
schemes are above threshold, and the message signal is normalized to 


E[X 2 (t)] = E[X 2 (t)] = 1/2; then 


( S/N ) d = 3 


inf x 


( 6 ) 


where (f^/f x ) is the deviation ratio 
and S x is the power of X ( t ) 


* 


f 

0 



5 


The PCM SNR at the receiver output is given by 
2 2n 

{S/N) d = ~ ojT 

l+4Pe2 2N 


(7) 


where N is the word length 

and P e is the probability of a bit error. 

Equation 7 is valid for all values of input signal-to-noise ratio. 
However, notice when P e gets very small, i.e., the detection threshold is 
reached, the value 1+4 P e 2 2 N tends to 1 and 

(S/N) d - 2 2 N (8) 

One can conclude from eq. 8 that increase in the input power above 
threshold level yields no improvement in the value of (S/N)^. 

The performance of the PCM operating above threshold is limited by 
quantizing noise, and the SNR is given by 

( S/N ) d = Q 2 (9) 

where Q is the number of quantizer levels. 

Now if we assume a binary PCM, and if the sampling rate is f s = 2f x , then 
the transmission bandwidth By is given by 

B T s f x i°g 2 Q (10) 

Solving for Q we obtain 


q = = 2^ 


( 11 ) 



6 


For a PCM that is operating above threshold, the value of Q in eq. 9 
can be substituted by the value of Q in eq. 11 and we have 

( S/N ) d = 22H (12) 

Eq. (6) shows that the FM does not have an exponential power dependence, 
while the PCM does have an exponential power-bandwidth relationship. 

In order to compare ( S/N )cj to ( S/N ) r = a and compare a to H, we must 
derive an expression for a for the PCM. In order to derive the a for 
the PCM, the following assumptions are made: the noise has a Gaussian 

distribution; the (S/N)^ needed to be produced = 50 dB; and a binary PCM is 
used. Hence, we need to derive the minimum ( S/N ) r = a needed to produce 
(S/N)^ = 50 dB. To calculate the (S/N) r a threshold point must be defined. 
The point at which symbol error due to channel noise occur? with probability 
P e < 10"4 is chosen as the threshold. 

For PCM, P e is obtained by 



with r s = 2f x log2 Q 



then for P e < 10"^ 



*G(Z 0 ) is the area under a normal Pdf. 



7 


if Z 0 satisfies G(Z 0 ) = 10"4 then we have 
2 

a > (log 2 q) Z 0 

since (S/N)^ = Q 2 
then for ( S/N ) ^ = 10 5 
we need Q = 316. 

Knowing the value of Q we can compute H. Fig. (2) indicates that 
increasing the transmitted power for the PCM beyond threshold yields no 
further improvement in ( S/N ) ^ since the limiting value of ( S/N ) ^ is 
determined by quantization. Fig. (3) indicates that the power-bandwidth 
exchanges in PCM is considerably better than the FM. The PCM system 
requires about 6 dB more power than the ideal system. In summary, we can 
say that FM and PCM offer wideband noise reduction and PCM is better than FM 
at low input SNR. In addition, the exchange of bandwidth for power is 
easier to accomplish in PCM as has been shown. Since PCM can be easily time 
scaled, time can also be exchanged for signal power. Thus, the 
communications system designer has added flexibility to meet a given 
performance criteria. 

Suitability for Image Processing 

The following candidate image processing functions may be required of 
the video system aboard the Space Station: Smoothing, enhancement, 

* restoration and filtering, data compression, feature extrapolation detection 

and identification, interpolation/extrapolation, spectral estimation, 
spectral factorization, and synthesis. 



8 


These capabilities are much easier done in the digital domain than in 
the analog domain in terms of computation, speed, and hardware complexity. 
The reasons for the above is the availability of integrated circuits that 
are more reliable and stable than the analog circuits. In addition, in the 
analog domain a circuit that does a particular function does not lend itself 
to doing another function unless the computations are quite similar to each 
other, while in the digital domain the flexibility is a lot greater than the 
analog. In other words, in order to do the previously mentioned processing 
in the analog domain, we might end up with a dedicated circuit for each 
function. In addition, it is easy to store and time scale PCM signals. 
Digital memories can accomplish storage and retrieving a lot more 
efficiently than analog. PCM signals can be time-dimension multiplexed a 
lot easier than analog. With PCM systems, source coding and channel coding 
can be used to reduce the redundancy in messages and to reduce the effects 
of noise and interference. 

Applicability to Space Station 

One of the design considerations in the network is to use intelligent 
nodes, where the nodes make the routing decision in cooperation with other 
nodes. The connection among these nodes will be fiber optic buses. Hence, 
there will be constant conversion from electric to optic and vice versa at 
each node. That will result in a considerable amount of loss and the need 
to regenerate the signal. PCM signals can be completely regenerated at each 
repeater station if the repeater spacing is such that the magnitude of the 
noise is less than 1/2 the separation between levels (with a high 
probability). With the exception of occasional errors, a noise and 



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distortion free signal is transmitted at each repeater. Furthermore, the 
effect of noise does not accumulate and in designing repeaters one needs to 
be concerned only about the effects of channel noise and signal loss between 
repeater stations. Repeaters for analog modulation schemes consist of 
amplifiers that raise the signal level at each transmitting station. While 
raising the signal level, the amplifier also raises the level of the noise. 
However, the above issue might not be of great importance, since utilizing 
FM means a dedicated video channel where the loss and noise might not be of 
considerable magnitude. Some might argue that FM is more applicable to 
Space Station since the complexity of a PCM system is greater than that 
required for the FM. However, the complexity varies little as the number of 
channels is increased. Hence, PCM can compare quite favorable when the 
number of channels, is large, which might be the case in Space Station. 

Integrability to the Network 

Since all other components on the network require a digital communi- 
cation channel, the use of FM will require separate analog channels. In 
that case, if the video data are to be used in any other purpose other than 
display, the data must be converted into the digital domain. Using the PCM 
does not mean that it eliminates the choice of having separate video 
channels. It will add the flexibility of either using dedicated channels or 
integrating the video channels with the rest of the network. 

Concluding Remarks 

It has been shown that the PCM has a better flexibility in power 
bandwidth trade-off, is better in image processing and is integrable to the 



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network. Therefore, it is obvious that the PCM will be a more beneficial 
scheme to use in transmitting the video data. The only exception where the 
FM will be a better choice is in case the video data will not require any 
processing and only be used in display. 


< 


! 



11 


References 


1) Shanmugan, K. S.: "Digital and Analog Communication Systems," Published 

by John Wiley and Sons, 1979. 









(S/N) H {dB) 


13 



oi(dB) 


Fig. 2- SNR in Communication System vs a = (S/N) r and H = 8. 



a(dB) 





1. Report No. 2. Government Accession No. 

NASA TM-87578 

3. Recipient's Catalog No. 

4. Title and Subtitle 

"Analog FM/FM vs. Digital Color TV Transmission Aboard 
Space Station" 

5. Report Date 

October 1985 

6. Performing Organization Code 

506-58-13-02 

7. Author(s) 

Michael M. Hart 

8. Performing Organization Report No. 

10. Work Unit No. 

9. Performing Organization Name and Address 

NASA Langley Research tenter 
Hampton, VA 23665 

11. Contract or Grant No. 

13. Type of Report and Period Covered 

Technical Memorandum 

12. Sponsoring Agency Name and Address 

National Aeronautics and Space Administration 
Washington, D.C. 20546 

14. Sponsoring Agency Code 


15. Supplementary Notes 


16. Abstract 

Langley Research Center is developing an integrated fault tolerant network to 
support data, voice, and video communications aboard Space Station. The question 
of transmitting the video data via dedicated analog channels or converting it to 
the digital domain for consistancy with the rest of the data is addressed. The 
recommendations in this paper are based on a comparison in the signal-to-noise 
ratio (SNR), the type of video processing required aboard Space Station, the 
applicability to Space Station, and how they integrate into the network. 


17. Key Words (Suggested by Author(s)) 18. Distribution Statement 

Signal-to-Noise Ratio (SNR), Applicability 

of PCM and FM to Space Station, PCM and FN Unclassified - Unlimited 
Integrabil ity to the rest of the Network 

Aboard Space Station Subject Category (32) 

19. Security Classif. (of this report) 20. Security Classif. (of this page) 21. No. of Pages 22. Price 

Unclassified Unclassified 15 A02 


N-305 


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