Application Of Data Compression To The Mil-std-1553 Data Bus

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Application of Data Compression to the MIL-STD-1553 Data Bus Scholar’s Day Feb. 1, 2008 By Bernard Lam

Overview 

Background 

 

Bus Trace Analysis Solutions – Compression Algorithms 

 

MIL-STD-1553

Zero-Tracking, Modified Run-Length, and Differential

Error Analysis Conclusions & Future Research

Goal Of Research 

To extend the bandwidth capabilities of MIL-STD-1553 Bus, using compression techniques.



Develop algorithms suitable for legacy systems



Demonstrate that the time to compress and decompress data is offset by the overall savings in data

Timing Analysis No Compression

Get Data Compute Outputs

Transmit Outputs

Compression

Time saved in receiving fewer words Time required to receive compressed data

Get Data Extra time need to decompress data

Extra time to compress data

Compute Outputs Transmit Outputs Time required to transmit data

Timing Diagram

TIME SAVED

Background ~ MIL-STD1553 

MIL-STD-1553 serial data bus Developed in the late 1960’s and early 1970’s  Limited/Low Bandwidth 

1 Mb/s  Has lead to development of multiple independent busses 



Time division multiple (TDM) access

System Model

Background ~ MIL-STD1553 

MIL-STD-1553 (cont’d) Manchester Bi-phase encoding  Data word size: 16 bit  Sync Waveform Message Format  Parity Bit 

Background ~ MIL-STD1553 

MIL-STD-1553 (cont’d) Max. single-command transmission size of 32 words  Safety and Mission Critical System  Real-Time System 



Replacement of MIL-STD-1553 with updated bus protocol, such as Fibre Channel, not a viable solution because of extensive costs.

Bus Trace Analysis 

Analysis was conducted using data from multiple bus traces of data captured at the F/A – 18 Advanced Weapons Laboratory.



Each trace represented roughly 30 seconds of flight data and included examples of mode changes and start-up conditions.

Bus Trace Analysis  Significant amount of zeros Percent of Zeros 20 Hz

10 Hz

5 Hz

Max % Zeros

96.3%

90.1%

78.6%

Min % Zeros

53.5%

88.5%

72.0%

Avg. % Zeros

68%

88.8%

73.5%

Bus Trace Analysis  Limited number of changes between consecutive message transmissions Percent of Changes

Max % Changes Min %

20 Hz

10 Hz

5 Hz

21.7%

27.5%

78.6%

Changes Avg. % Changes

2.0%

0%

2%

3.9%

3.3%

3.3%

Data Compression 

Lossless vs. Lossy Compression 

Lossless Original data is completely retrievable by means of decompression  Ex. Winzip, GIF 



Lossy Lose information; original data not retrievable when decompressed  Higher Compression Ratios  E.g., jpeg, mpeg, mp3 

Data Compression 

Coding Performance and Efficiency 

Measured by compression ratio

raw _ size Compression _ Ratio  compressed _ size

FFFF

FFFF AFC1 AFC1

FFFF

xxxx

FFFF

compress

yyyy

decompr ess

AFC1 AFC1

Data Compression 

Criteria 

Lossless Compression



Take advantage of message format of MIL-STD-1553



Limit worst case expansion



Limit computational and memory requirements

Compression Algorithms 

Common Value Tracking 

Zero-Tracking



Modified Run-Length Encoding



Differential Encoding

Zero Tracking 

Encodes long sequences containing mostly zeros



Uses marker sequence to indicate the position of zeros Transmits



Position Address (marker sequence)  Non-Zero Data Words 

Zero-Tracking Encoding (Example) Word Input Encode Count (Hex)

Data (Hex)

ZT

d Data (Hex)

0

0

1

CBD0

1

0

1

FFFF

2

FFFF

0

59

3

59

0

AC9F

4

0

1

486

5

AC9F

0

6

0

1

7

0

1

8

0

1

9

0

1

A

486

0

B

0

1

Bit Position Word

Original _ Size Compressed _ Size 12 Compression _ Ratio   2.4 5 Compression _ Ratio 

Zero Tracking 

If a 32-word block is compressed 2 data words are required to indicate positions  Can transmit maximum of 31 uncompressed data words 





Most significant bit in 1st address word is used to indicate if uncompress/compressed

Worst Case Compression Ratio 

comp. ratio = 31/32

Modified Run-Length Encoding 

Encodes consecutive sequences of identical words



Uses marker sequence to indicate the presence of repeated sequences within block set



For block of 32 words 

Worst Case Expansion – 31/32

Modified Run-Length (Example) Word Input Encode Count (Hex)

Data (Hex)

RT

d Data (Hex)

0

0

0

67A0

1

0

1

0

2

0

1

FFFF

3

FFFF

0

5604

4

5604

0

9840

5

5604

1

B1F4

6

5604

1

7

5604

1

8

5604

1

9

9840

0

A

9840

1

B

B1F4

0

Bit Position Word

Original _ Size Compressed _ Size 12 Compression _ Ratio   2 6 Compression _ Ratio 

Differential Encoding 





Encodes only changes of previous vs. current word locations A differential scheme takes advantage of the fact that for a given rate group one transmission to the next does not change Two buffers are required for comparison of previous and current transmissions

Differential Encoding Word Coun t (Hex) 0

Previo us Data (Hex) 0054

Curre nt Data (Hex) 0054

1

0815

2

0

Encod ed Data (Hex) 20D0

0815

0

12F8

AF58

12F8

1

9FB2

3

0000

0000

0

FDA9

4

0000

0000

0

A14F

5

6542

6542

0

6

FFFF

FFFF

0

7

FFFF

FFFF

0

8

2222

9FB2

1

9

8966

FDA9

1

A

8966

8966

0

B

0052

A14F

1

DT

Bit Position Word

Original _ Size Compressed _ Size 12 Compression _ Ratio   2.4 5 Compression _ Ratio 

Compression Ratios Average Compression Ratios For Algorithms 20 Hz Zero-Tracking Mod. RunLength Differential

10 Hz

5 Hz

MC1

MC2

MC1

MC2

MC1

MC2

2.63

1.66

4.65

3.39

2.44

2.60

1.34

1.97

2.44

2.80

2.13

1.17

12.47

5.74

14.47

7.22

8.37

1.31

Compression Bit Status 

1st Bit of 1st 16-bit word indicates the compression status  

‘1’ - equals uncompressed ‘0’ – equals compressed

Compress ion Status

Block Set Format

1 0

15 bits 16 bits 31 30 Data Data Words Words

Bit Position Word Bit Position Word 31 – 16 bit Data 30 – 16Words bit Data Words

Transmission Error Effects 

Effects of data errors can be amplified when using data compression



If higher levels of error detection and correction (EDAC) are needed, one or more data words can be dedicated to EDAC

Transmission Error Effects 

Standard 1553 Error Checking Bit Errors can be detected  Exception – multiple-bit errors without parity change cannot be detected 



Common Value Tracking If an undetected error is in the bit position word, multiple words can be corrupted.  If an undetected error is in the data word, only that word location is impacted 

Transmission Error Effects 

Modified Run-Length Compression Like zero tracking a error in the bit position word can invalidate a run  Error dramatically worse result than that of zero-tracking 



Differential Encoding Error in address word can result incorrect updating  Worst Case – All data words are updated 



Further Research Required

Future Research 

Error Handling Routines



Effects of mode-changing and startup



Timing analysis for Run-Length and Differential Encoding

Conclusions 

Reviewed Statistical Analysis of Trace Data



Able to achieve compression ratios greater than one for all algorithms



Discussed Error Analysis



Preliminary timing simulations of timing look promising

Acknowledgements 

Dr. Russell Duren



Dr. Michael Thompson

QUESTIONS?

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