fec向前纠错编码（rs编码）仿真实现

/* 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 <math.h> #include <iostream.h> #include <stdio.h> #include <sys/timeb.h> #define mm 8 /* RS code over GF(2**4) - change to suit */ #define nn 255 /* nn=2**mm -1 length of codeword */ #define tt 24 /* number of errors that can be corrected */ #define kk 207 /* kk = nn-2*tt */ #define no_p 16 /* no_p = 2*tt */ #define no_t 24 /* no_t = 3*tt */ //file://int pp [mm+1] = { 1, 1, 0, 0,1} ; /* specify irreducible polynomial coeffts */ int pp[mm+1] = { 1, 0, 0, 0, 1, 1, 1, 0, 1}; 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<mm; i++) { alpha_to[i] = mask ; index_of[alpha_to[i]] = i ; if (pp[i]!=0) alpha_to[mm] ^= mask ; mask <<= 1 ; } index_of[alpha_to[mm]] = mm ; mask >>= 1 ; for (i=mm+1; i<nn; i++) { if (alpha_to[i-1] >= 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]] ; // for(i=0;i<=48;i++) // cout<<gg[i]<<" "; // cout<<endl; } 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<nn-kk; i++) bb[i] = 0 ; for (i=kk-1; 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] ; int da[no_p+1][no_t+1]; int st[no_p+1][no_t+1]; int ga[no_p+1]; int kr[no_p+1]; int dg_mul; int ds_mul; int omiga; int sita; int yi; /* first form the syndromes */ for (i=1; i<=nn-kk; i++) { s[i] = 0 ; for (j=0; j<nn; j++) if (recd[j]!=-1) s[i] ^= alpha_to[(recd[j]+i*j)%nn] ; /* recd[j] in index form */ /* convert syndrome from polynomial form to index form */ if (s[i]!=0) syn_error=1 ; /* set flag if non-zero syndrome => error */ //file://s[i] = index_of[s[i]] ; } //file://Ribm algorithm //file://Begin /* int da[3*tt+1][2*tt+1]; int st[3*tt+1][2*tt+1]; int ga[2*tt+1]; int kr[2*tt+1]; int dg_mul; int ds_mul;*/ // file://Calculate error locator and error evaluator po