OpenRTX/openrtx/include/protocols/M17/M17ConvolutionalEncoder.hpp

120 lines
4.0 KiB
C++

/***************************************************************************
* Copyright (C) 2021 - 2025 by Federico Amedeo Izzo IU2NUO, *
* Niccolò Izzo IU2KIN *
* Frederik Saraci IU2NRO *
* Silvano Seva IU2KWO *
* *
* Adapted from original code written by Rob Riggs, Mobilinkd LLC *
* *
* This program is free software; you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published by *
* the Free Software Foundation; either version 3 of the License, or *
* (at your option) any later version. *
* *
* This program is distributed in the hope that it will be useful, *
* but WITHOUT ANY WARRANTY; without even the implied warranty of *
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
* GNU General Public License for more details. *
* *
* You should have received a copy of the GNU General Public License *
* along with this program; if not, see <http://www.gnu.org/licenses/> *
***************************************************************************/
#ifndef M17_CONVOLUTIONAL_ENCODER_H
#define M17_CONVOLUTIONAL_ENCODER_H
#ifndef __cplusplus
#error This header is C++ only!
#endif
#include <cstdint>
#include <cstddef>
namespace M17
{
/**
* Convolutional encoder tailored on M17 protocol specifications, requiring a
* coder rate R = 1/2, a constraint length K = 5 and polynomials G1 = 0x19 and
* G2 = 0x17.
*/
class M17ConvolutionalEncoder
{
public:
/**
* Constructor.
*/
M17ConvolutionalEncoder(){ }
/**
* Encode a given block of data using the M17 convolutional encoding scheme.
* Given the coder rate of 1/2, calling code must ensure that the destination
* buffer for the convolved data has twice the size of the original data block.
*
* \param data: pointer to source data block.
* \param convolved: pointer to a destination buffer for the convolved data.
* \param len: length of the source data block.
*/
void encode(const void *data, void *convolved, const size_t len)
{
const uint8_t *src = reinterpret_cast< const uint8_t * >(data);
uint16_t *dest = reinterpret_cast< uint16_t * >(convolved);
for(size_t i = 0; i < len; i++)
{
dest[i] = convolveByte(src[i]);
}
}
/**
* Flush the convolutional encoder, returning the remaining encoded data.
*
* \return the convolution encoding of the remaining content of the encoder
* memory.
*/
uint16_t flush()
{
return convolveByte(0x00);
}
/**
* Reset the convolutional encoder memory to zero.
*/
void reset()
{
memory = 0;
}
private:
/**
* Compute the convolutional encoding of a byte, using the M17 encoding
* scheme.
*
* \param value: byte to be convolved.
* \return result of the convolutional encoding process.
*/
uint16_t convolveByte(uint8_t value)
{
uint16_t result = 0;
for(uint8_t i = 0; i < 8; i++)
{
memory = (memory << 1) | ((value & 0x80) >> 7);
memory &= 0x1F;
result = (result << 1) | (__builtin_popcount(memory & 0x19) & 0x01);
result = (result << 1) | (__builtin_popcount(memory & 0x17) & 0x01);
value <<= 1;
}
return __builtin_bswap16(result);
}
uint8_t memory = 0; ///< Convolutional encoder memory.
};
} // namespace M17
#endif // M17_CONVOLUTIONAL_ENCODER_H