/* rs.c */
/* This program is an encoder/decoder for Reed-Solomon codes. Encoding is in
systematic form, decoding via the Berlekamp iterative algorithm.
In the present form , the constants mm, nn, tt, and kk=nn-2tt must be
specified (the double letters are used simply to avoid clashes with
other n,k,t used in other programs into which this was incorporated!)
Also, the irreducible polynomial used to generate GF(2**mm) must also be
entered -- these can be found in Lin and Costello, and also Clark and Cain.
The representation of the elements of GF(2**m) is either in index form,
where the number is the power of the primitive element alpha, which is
convenient for multiplication (add the powers modulo 2**m-1) or in
polynomial form, where the bits represent the coefficients of the
polynomial representation of the number, which is the most convenient form
for addition. The two forms are swapped between via lookup tables.
This leads to fairly messy looking expressions, but unfortunately, there
is no easy alternative when working with Galois arithmetic.
The code is not written in the most elegant way, but to the best
of my knowledge, (no absolute guarantees!), it works.
However, when including it into a simulation program, you may want to do
some conversion of global variables (used here because I am lazy!) to
local variables where appropriate, and passing parameters (eg array
addresses) to the functions may be a sensible move to reduce the number
of global variables and thus decrease the chance of a bug being introduced.
This program does not handle erasures at present, but should not be hard
to adapt to do this, as it is just an adjustment to the Berlekamp-Massey
algorithm. It also does not attempt to decode past the BCH bound -- see
Blahut "Theory and practice of error control codes" for how to do this.
Simon Rockliff, University of Adelaide 21/9/89
26/6/91 Slight modifications to remove a compiler dependent bug which hadn't
previously surfaced. A few extra comments added for clarity.
Appears to all work fine, ready for posting to net!
Notice
--------
This program may be freely modified and/or given to whoever wants it.
A condition of such distribution is that the author's contribution be
acknowledged by his name being left in the comments heading the program,
however no responsibility is accepted for any financial or other loss which
may result from some unforseen errors or malfunctioning of the program
during use.
Simon Rockliff, 26th June 1991
*/
#include
#include
#define mm 4 /* RS code over GF(2**4) - change to suit */
#define nn 15 /* nn=2**mm -1 length of codeword */
#define tt 3 /* number of errors that can be corrected */
#define kk 9 /* kk = nn-2*tt */
int pp [mm+1] = { 1, 1, 0, 0, 1} ; /* specify irreducible polynomial coeffts */
int alpha_to [nn+1], index_of [nn+1], gg [nn-kk+1] ;
int recd [nn], data [kk], bb [nn-kk] ;
void generate_gf()
/* generate GF(2**mm) from the irreducible polynomial p(X) in pp[0]..pp[mm]
lookup tables: index->polynomial form alpha_to[] contains j=alpha**i;
polynomial form -> index form index_of[j=alpha**i] = i
alpha=2 is the primitive element of GF(2**mm)
*/
{
register int i, mask ;
mask = 1 ;
alpha_to[mm] = 0 ;
for (i=0; i>= 1 ;
for (i=mm+1; i= mask)
alpha_to[i] = alpha_to[mm] ^ ((alpha_to[i-1]^mask)<<1) ;
else alpha_to[i] = alpha_to[i-1]<<1 ;
index_of[alpha_to[i]] = i ;
}
index_of[0] = -1 ;
}
void gen_poly()
/* Obtain the generator polynomial of the tt-error correcting, length
nn=(2**mm -1) Reed Solomon code from the product of (X+alpha**i), i=1..2*tt
*/
{
register int i,j ;
gg[0] = 2 ; /* primitive element alpha = 2 for GF(2**mm) */
gg[1] = 1 ; /* g(x) = (X+alpha) initially */
for (i=2; i<=nn-kk; i++)
{ gg[i] = 1 ;
for (j=i-1; j>0; j--)
if (gg[j] != 0) gg[j] = gg[j-1]^ alpha_to[(index_of[gg[j]]+i)%nn] ;
else gg[j] = gg[j-1] ;
gg[0] = alpha_to[(index_of[gg[0]]+i)%nn] ; /* gg[0] can never be zero */
}
/* convert gg[] to index form for quicker encoding */
for (i=0; i<=nn-kk; i++) gg[i] = index_of[gg[i]] ;
}
void encode_rs()
/* take the string of symbols in data[i], i=0..(k-1) and encode systematically
to produce 2*tt parity symbols in bb[0]..bb[2*tt-1]
data[] is input and bb[] is output in polynomial form.
Encoding is done by using a feedback shift register with appropriate
connections specified by the elements of gg[], which was generated above.
Codeword is c(X) = data(X)*X**(nn-kk)+ b(X) */
{
register int i,j ;
int feedback ;
for (i=0; i=0; i--)
{ feedback = index_of[data[i]^bb[nn-kk-1]] ;
if (feedback != -1)
{ for (j=nn-kk-1; j>0; j--)
if (gg[j] != -1)
bb[j] = bb[j-1]^alpha_to[(gg[j]+feedback)%nn] ;
else
bb[j] = bb[j-1] ;
bb[0] = alpha_to[(gg[0]+feedback)%nn] ;
}
else
{ for (j=nn-kk-1; j>0; j--)
bb[j] = bb[j-1] ;
bb[0] = 0 ;
} ;
} ;
} ;
void decode_rs()
/* assume we have received bits grouped into mm-bit symbols in recd[i],
i=0..(nn-1), and recd[i] is index form (ie as powers of alpha).
We first compute the 2*tt syndromes by substituting alpha**i into rec(X) and
evaluating, storing the syndromes in s[i], i=1..2tt (leave s[0] zero) .
Then we use the Berlekamp iteration to find the error location polynomial
elp[i]. If the degree of the elp is >tt, we cannot correct all the errors
and hence just put out the information symbols uncorrected. If the degree of
elp is <=tt, we substitute alpha**i , i=1..n into the elp to get the roots,
hence the inverse roots, the error location numbers. If the number of errors
located does not equal the degree of the elp, we have more than tt errors
and cannot correct them. Otherwise, we then solve for the error value at
the error location and correct the error. The procedure is that found in
Lin and Costello. For the cases where the number of errors is known to be too
large to correct, the information symbols as received are output (the
advantage of systematic encoding is that hopefully some of the information
symbols will be okay and that if we are in luck, the errors are in the
parity part of the transmitted codeword). Of course, these insoluble cases
can be returned as error flags to the calling routine if desired. */
{
register int i,j,u,q ;
int elp[nn-kk+2][nn-kk], d[nn-kk+2], l[nn-kk+2], u_lu[nn-kk+2], s[nn-kk+1] ;
int count=0, syn_error=0, root[tt], loc[tt], z[tt+1], err[nn], reg[tt+1] ;
/* first form the syndromes */
for (i=1; i<=nn-kk; i++)
{ s[i] = 0 ;
for (j=0; j error */
s[i] = index_of[s[i]] ;
} ;
if (syn_error) /* if errors, try and correct */
{
/* compute the error location polynomial via the Berlekamp iterative algorithm,
following the terminology of Lin and Costello : d[u] is the 'mu'th
discrepancy, where u='mu'+1 and 'mu' (the Greek letter!) is the step number
ranging from -1 to 2*tt (see L&C), l[u] is the
degree of the elp at that step, and u_l[u] is the difference between the
step number and the degree of the elp.
*/
/* initialise table entries */
d[0] = 0 ; /* index form */
d[1] = s[1] ; /* index form */
elp[0][0] = 0 ; /* index form */
elp[1][0] = 1 ; /* polynomial form */
for (i=1; i0)) q-- ;
/* have found first non-zero d[q] */
if (q>0)
{ j=q ;
do
{ j-- ;
if ((d[j]!=-1) && (u_lu[q]0) ;
} ;
/* have now found q such that d[u]!=0 and u_lu[q] is maximum */
/* store degree of new elp polynomial */
if (l[u]>l[q]+u-q) l[u+1] = l[u] ;
else l[u+1] = l[q]+u-q ;
/* form new elp(x) */
for (i=0; i >tt errors and cannot solve */
for (i=0; itt hence cannot solve */
for (i=0; i no errors: output received codeword */
for (i=0; i