3 * Provides routines for encoding and decoding the extended Golay
6 * This implementation will detect up to 4 errors in a codeword (without
7 * being able to correct them); it will correct up to 3 errors.
9 * Wireshark - Network traffic analyzer
10 * By Gerald Combs <gerald@wireshark.org>
11 * Copyright 1998 Gerald Combs
13 * This program is free software; you can redistribute it and/or
14 * modify it under the terms of the GNU General Public License
15 * as published by the Free Software Foundation; either version 2
16 * of the License, or (at your option) any later version.
18 * This program is distributed in the hope that it will be useful,
19 * but WITHOUT ANY WARRANTY; without even the implied warranty of
20 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
21 * GNU General Public License for more details.
23 * You should have received a copy of the GNU General Public License
24 * along with this program; if not, write to the Free Software
25 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
34 These entries are formed from the matrix specified in H.223/B.3.2.1.3;
35 it's first transposed so we have:
37 [P1 ] [111110010010] [MC1 ]
38 [P2 ] [011111001001] [MC2 ]
39 [P3 ] [110001110110] [MC3 ]
40 [P4 ] [011000111011] [MC4 ]
41 [P5 ] [110010001111] [MPL1]
42 [P6 ] = [100111010101] [MPL2]
43 [P7 ] [101101111000] [MPL3]
44 [P8 ] [010110111100] [MPL4]
45 [P9 ] [001011011110] [MPL5]
46 [P10] [000101101111] [MPL6]
47 [P11] [111100100101] [MPL7]
48 [P12] [101011100011] [MPL8]
50 So according to the equation, P1 = MC1+MC2+MC3+MC4+MPL1+MPL4+MPL7
52 Looking down the first column, we see that if MC1 is set, we toggle bits
53 1,3,5,6,7,11,12 of the parity: in binary, 110001110101 = 0xE3A
55 Similarly, to calculate the inverse, we read across the top of the table and
56 see that P1 is affected by bits MC1,MC2,MC3,MC4,MPL1,MPL4,MPL7: in binary,
59 I've seen cunning implementations of this which only use one table. That
60 technique doesn't seem to work with these numbers though.
63 static const guint golay_encode_matrix
[12] = {
78 static const guint golay_decode_matrix
[12] = {
95 /* Function to compute the Hamming weight of a 12-bit integer */
96 static guint
weight12(guint vector
)
100 for( i
=0; i
<12; i
++ )
106 /* returns the golay coding of the given 12-bit word */
107 static guint
golay_coding(guint w
)
112 for( i
= 0; i
<12; i
++ ) {
114 out
^= golay_encode_matrix
[i
];
119 /* encodes a 12-bit word to a 24-bit codeword */
120 guint32
golay_encode(guint w
)
122 return ((guint32
)w
) | ((guint32
)golay_coding(w
))<<12;
127 /* returns the golay coding of the given 12-bit word */
128 static guint
golay_decoding(guint w
)
133 for( i
= 0; i
<12; i
++ ) {
135 out
^= golay_decode_matrix
[i
];
141 /* return a mask showing the bits which are in error in a received
142 * 24-bit codeword, or -1 if 4 errors were detected.
144 gint32
golay_errors(guint32 codeword
)
146 guint received_data
, received_parity
;
149 guint inv_syndrome
= 0;
151 received_parity
= (guint
)(codeword
>>12);
152 received_data
= (guint
)codeword
& 0xfff;
154 /* We use the C notation ^ for XOR to represent addition modulo 2.
156 * Model the received codeword (r) as the transmitted codeword (u)
157 * plus an error vector (e).
161 * Then we calculate a syndrome (s):
163 * s = r * H, where H = [ P ], where I12 is the identity matrix
166 * (In other words, we calculate the parity check for the received
167 * data bits, and add them to the received parity bits)
170 syndrome
= received_parity
^ (golay_coding(received_data
));
171 w
= weight12(syndrome
);
174 * The properties of the golay code are such that the Hamming distance (ie,
175 * the minimum distance between codewords) is 8; that means that one bit of
176 * error in the data bits will cause 7 errors in the parity bits.
178 * In particular, if we find 3 or fewer errors in the parity bits, either:
179 * - there are no errors in the data bits, or
180 * - there are at least 5 errors in the data bits
181 * we hope for the former (we don't profess to deal with the
185 return ((gint32
) syndrome
)<<12;
188 /* the next thing to try is one error in the data bits.
189 * we try each bit in turn and see if an error in that bit would have given
190 * us anything like the parity bits we got. At this point, we tolerate two
191 * errors in the parity bits, but three or more errors would give a total
192 * error weight of 4 or more, which means it's actually uncorrectable or
193 * closer to another codeword. */
195 for( i
= 0; i
<12; i
++ ) {
197 guint coding_error
= golay_encode_matrix
[i
];
198 if( weight12(syndrome
^coding_error
) <= 2 ) {
199 return (gint32
)((((guint32
)(syndrome
^coding_error
))<<12) | (guint32
)error
) ;
203 /* okay then, let's see whether the parity bits are error free, and all the
204 * errors are in the data bits. model this as follows:
206 * [r | pr] = [u | pu] + [e | 0]
209 * pu = H * u => u = H' * pu = H' * pr , where H' is inverse of H
211 * we already have s = H*r + pr, so pr = s - H*r = s ^ H*r
213 * = (H' * ( s ^ H*r )) ^ r
217 * Once again, we accept up to three error bits...
220 inv_syndrome
= golay_decoding(syndrome
);
221 w
= weight12(inv_syndrome
);
223 return (gint32
)inv_syndrome
;
226 /* Final shot: try with 2 errors in the data bits, and 1 in the parity
227 * bits; as before we try each of the bits in the parity in turn */
228 for( i
= 0; i
<12; i
++ ) {
230 guint coding_error
= golay_decode_matrix
[i
];
231 if( weight12(inv_syndrome
^coding_error
) <= 2 ) {
232 guint32 error_word
= ((guint32
)(inv_syndrome
^coding_error
)) | ((guint32
)error
)<<12;
233 return (gint32
)error_word
;
237 /* uncorrectable error */
243 /* decode a received codeword. Up to 3 errors are corrected for; 4
244 errors are detected as uncorrectable (return -1); 5 or more errors
245 cause an incorrect correction.
247 gint
golay_decode(guint32 w
)
249 guint data
= (guint
)w
& 0xfff;
250 gint32 errors
= golay_errors(w
);
255 data_errors
= (guint
)errors
& 0xfff;
256 return (gint
)(data
^ data_errors
);