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Decoding Reed-Solomon Codes using the Guruswami-Sudan Algorithm

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Title: Decoding Reed-Solomon Codes using the Guruswami-Sudan Algorithm Author: a3702361 Last modified by: a3702361 Created Date: 1/20/2006 7:22:25 PM – PowerPoint PPT presentation

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Title: Decoding Reed-Solomon Codes using the Guruswami-Sudan Algorithm


1
Decoding Reed-Solomon Codes using the
Guruswami-Sudan Algorithm
  • PGC 2006, EECE, NCL
  • Student Li Chen
  • Supervisor Prof. R. Carrasco, Dr. E. Chester

2
Introduction
  • List Decoding
  • Guruswami-Sudan Algorithm
  • Interpolation (Kotters Algorithm)
  • Factorisation (Ruth-Ruckenstein Algorithm)
  • Simulation Performance
  • Complexity Analysis
  • Algebraic-Geometric Extension
  • Conclusion

3
Funny Talk about List Decoder
  • DecoderSearch the lost boy named John
  • Unique decoderPolice without cooperation
  • List decoderPolice with cooperation

Police
Decoder
from
now
4
List Decoding
  • Introduced by P. Elias and J. Wozencraft
    independently in 1950s
  • Idea
  • Unique decoder can correct r1,
  • but not r2?
  • List decoder can correct
  • r1 and r2?

5
Reed-Solomon Codes
  • Encoding ?k ?n (kltn)
  • (C0, C1, , Cn-1)(f(x0), f(x1), , f(xn-1))
  • transmitted message
  • f(x)f0x0f1x1fk-1xk-1
  • k dimensional monomial basis of curve y0
  • Application
  • Storage device
  • Mobile communications

6
Guruswami-Sudan Algorithm
7
GS Overview
  • Decode RS(5, 2)
  • Encoding elemnts x(x0, x1, x2, x3, x4)
  • Received word y(y0, y1, y2, y3, y4)

Build Q(x, y) that goes through 5 points Q(x,
y)y2-x2 y-(-x) y-p(x)?f(x) y-x
Q(x, y) has a zero of multiplicity m1 over the 5
points.
GS Interpolation Factorisation
The Decoded codeword is produced by re-evaluate
p(x) over x0, x1, x2, x3, x4!!!
8
How about increase the degree of Q(x, y)?
  • Q2(y2-x2)2 y-(-x)
  • y-x
  • y-p(x)?f(x)
  • y-(-x)
  • y-x

Q2(x, y) has a zero of multiplicity m2 over the
5 points.
The higher degree of Q(x, y) more candidate
to be chosen as f(x) diverser point can be
included in Q(x, y) better error correction
capability!!!
9
GS Decoding Property
  • Error correction upper bound (1)

Multiplicity m Error correction tm Output list lm
  • Examples
  • RS(63, 15) with r0.24, e24 RS(63,
    31) with r0.49, e16

10
Interpolation---Build Q(x, y)
  • Multiplicity definition (2)
  • ---qab0 for abltm, Q has a zero of multiplicity
    m at (0, 0).
  • Define over a certain point (xi, yi)
  • ---quv0 for uvltm, Q has a zero of multiplicity
    m at (xi,yi)
  • quv is the Qs (u, v) Hasse derivative
    evaluation on (xi, yi)
  • (3)

11
Cont
  • Therefore, we have to construct a Q(x, y) that
    satisfies
  • Q(x, y)minQ(x, y)?Fqx, yDuvQ(xi, yi)0
  • for i0, , n-1 and
    uvltm
  • Q has a zero of multiplicity m over the n points

12
Kotters Algorithm
  • Initialisation G0g0, g1, , gj, ,

Hasse Derivative Evaluation
If in, end! Else, update i, and (u, v)
Find the minimal polynomial in J
Bilinear Hasse Derivative modification For
(j?J), if jj, if j?j,
13
Factorisation---Find p(x)
  • p(x) satisfy
  • y-p(x)Q(x, y) and deg(p(x))ltk
  • p(x)p0p1xpk-1xk-1
  • ---we can deduce coefficients p0, p1, , pk-1
    sequentially!!!

14
Ruth-Ruckenstein Algorithm
Q0(x, y)
Q1(x, y) Q2(x, y)
p(x)
p(x)
Qs sequential transformation (4) pi are the
roots of Qi(0, y)0.
15
Simulation Results 1----RS(63, 15)
AWGN
Rayleigh fading
Coding gain 0.4-1.3dB 1-2.8dB
16
Simulation Result 2----RS(63, 31)
AWGN
Rayleigh fading
Coding gain 0.2-0.8dB 0.5-1.4dB
17
Complexity Analysis
RS(63, 15) RS(63, 31)
Reason Iterative Interpolation
18
Little Supplements----GSs AG extension
RS f(x) Q(x, y) p(x) AG f(x, y) Q(x, y,
z) p(x, y)
19
Conclusion of GS algorithm
  • Correct errors beyond the (d-1)/2 boundary
  • Outperform the unique decoding algorithm
  • Greater potential for low rate codes
  • Used for decode AG codes
  • Higher decoding complexity----Need to be
    addressed in future!!!

20
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