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Fix all Werror problems

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30hours 2024-09-10 22:52:25 +00:00
parent 03fcf0cc18
commit 95a8b2da7c
16 changed files with 93 additions and 80 deletions
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4
src/blah2.cpp
View file

@ -201,7 +201,7 @@ int main(int argc, char **argv)
std::string savePath, saveMapPath;
if (saveIq || saveMap)
{
char startTimeStr[15];
char startTimeStr[16];
struct timeval currentTime = {0, 0};
gettimeofday(&currentTime, NULL);
strftime(startTimeStr, 16, "%Y%m%d-%H%M%S", localtime(&currentTime.tv_sec));
@ -234,7 +234,7 @@ int main(int argc, char **argv)
// extract data from buffer
buffer1->lock();
buffer2->lock();
for (int i = 0; i < nSamples; i++)
for (uint32_t i = 0; i < nSamples; i++)
{
x->push_back(buffer1->pop_front());
y->push_back(buffer2->pop_front());

2
src/capture/hackrf/HackRf.cpp
View file

@ -120,7 +120,7 @@ int HackRf::rx_callback(hackrf_transfer* transfer)
buffer_blah2->lock();
for (size_t i = 0; i < transfer->buffer_length; i=i+2)
for (int i = 0; i < transfer->buffer_length; i=i+2)
{
double iqi = static_cast<double>(buffer_hackrf[i]);
double iqq = static_cast<double>(buffer_hackrf[i+1]);

4
src/capture/kraken/Kraken.cpp
View file

@ -11,7 +11,7 @@ Kraken::Kraken(std::string _type, uint32_t _fc, uint32_t _fs,
: Source(_type, _fc, _fs, _path, _saveIq)
{
// convert gain to tenths of dB
for (int i = 0; i < _gain.size(); i++)
for (size_t i = 0; i < _gain.size(); i++)
{
gain.push_back(static_cast<int>(_gain[i]*10));
channelIndex.push_back(i);
@ -33,7 +33,7 @@ Kraken::Kraken(std::string _type, uint32_t _fc, uint32_t _fs,
check_status(status, "Failed to close device for available gains.");
// update gains to next value if invalid
for (int i = 0; i < _gain.size(); i++)
for (size_t i = 0; i < _gain.size(); i++)
{
int adjustedGain = static_cast<int>(_gain[i] * 10);
auto it = std::lower_bound(validGains.begin(),

16
src/capture/rspduo/RspDuo.cpp
View file

@ -115,9 +115,13 @@ void RspDuo::replay(IqData *_buffer1, IqData *_buffer2, std::string _file, bool
while (true)
{
rv = fread(&i1, 1, sizeof(short), file_replay);
if (rv != sizeof(short)) break;
rv = fread(&q1, 1, sizeof(short), file_replay);
if (rv != sizeof(short)) break;
rv = fread(&i2, 1, sizeof(short), file_replay);
if (rv != sizeof(short)) break;
rv = fread(&q2, 1, sizeof(short), file_replay);
if (rv != sizeof(short)) break;
buffer1->lock();
buffer2->lock();
if (buffer1->get_length() < buffer1->get_n())
@ -214,7 +218,7 @@ void RspDuo::open_api()
void RspDuo::get_device()
{
int i;
unsigned int i;
unsigned int ndev;
unsigned int chosenIdx = 0;
@ -413,8 +417,8 @@ void RspDuo::stream_a_callback(short *xi, short *xq,
sdrplay_api_StreamCbParamsT *params, unsigned int numSamples,
unsigned int reset, void *cbContext)
{
int i = 0;
int j = 0;
unsigned int i = 0;
unsigned int j = 0;
// process stream callback data
buffer_16_ar = (short int *)malloc(numSamples * 4 * sizeof(short));
@ -456,8 +460,8 @@ void RspDuo::stream_b_callback(short *xi, short *xq,
sdrplay_api_StreamCbParamsT *params, unsigned int numSamples,
unsigned int reset, void *cbContext)
{
int i = 0;
int j = 0;
unsigned int i = 0;
unsigned int j = 0;
// xxxxIIQQ
for (i = 0; i < numSamples; i++)
@ -473,7 +477,7 @@ unsigned int reset, void *cbContext)
// write data to IqData
buffer1->lock();
buffer2->lock();
for (int i = 0; i < numSamples*4; i+=4)
for (i = 0; i < numSamples*4; i+=4)
{
buffer1->push_back({(double)buffer_16_ar[i], (double)buffer_16_ar[i+1]});
buffer2->push_back({(double)buffer_16_ar[i+2], (double)buffer_16_ar[i+3]});

8
src/data/Detection.cpp
View file

@ -52,21 +52,21 @@ std::string Detection::to_json(uint64_t timestamp)
// store delay array
rapidjson::Value arrayDelay(rapidjson::kArrayType);
for (int i = 0; i < get_nDetections(); i++)
for (size_t i = 0; i < get_nDetections(); i++)
{
arrayDelay.PushBack(delay[i], allocator);
}
// store Doppler array
rapidjson::Value arrayDoppler(rapidjson::kArrayType);
for (int i = 0; i < get_nDetections(); i++)
for (size_t i = 0; i < get_nDetections(); i++)
{
arrayDoppler.PushBack(doppler[i], allocator);
}
// store snr array
rapidjson::Value arraySnr(rapidjson::kArrayType);
for (int i = 0; i < get_nDetections(); i++)
for (size_t i = 0; i < get_nDetections(); i++)
{
arraySnr.PushBack(snr[i], allocator);
}
@ -92,7 +92,7 @@ std::string Detection::delay_bin_to_km(std::string json, uint32_t fs)
document.Parse(json.c_str());
document["delay"].Clear();
for (int i = 0; i < delay.size(); i++)
for (size_t i = 0; i < delay.size(); i++)
{
document["delay"].PushBack(1.0*delay[i]*(Constants::c/(double)fs)/1000, allocator);
}

4
src/data/IqData.cpp
View file

@ -96,14 +96,14 @@ std::string IqData::to_json(uint64_t timestamp)
// store frequency array
rapidjson::Value arrayFrequency(rapidjson::kArrayType);
for (int i = 0; i < frequency.size(); i++)
for (size_t i = 0; i < frequency.size(); i++)
{
arrayFrequency.PushBack(frequency[i], allocator);
}
// store spectrum array
rapidjson::Value arraySpectrum(rapidjson::kArrayType);
for (int i = 0; i < spectrum.size(); i++)
for (size_t i = 0; i < spectrum.size(); i++)
{
arraySpectrum.PushBack(10 * std::log10(std::abs(spectrum[i])), allocator);
}

28
src/data/Map.cpp
View file

@ -23,7 +23,7 @@ template <class T>
void Map<T>::set_row(uint32_t i, std::vector<T> row)
{
//data[i].swap(row);
for (int j = 0; j < nCols; j++)
for (uint32_t j = 0; j < nCols; j++)
{
data[i][j] = row[j];
}
@ -32,7 +32,7 @@ void Map<T>::set_row(uint32_t i, std::vector<T> row)
template <class T>
void Map<T>::set_col(uint32_t i, std::vector<T> col)
{
for (int j = 0; j < nRows; j++)
for (uint32_t j = 0; j < nRows; j++)
{
data[j][i] = col[j];
}
@ -61,7 +61,7 @@ std::vector<T> Map<T>::get_col(uint32_t col)
{
std::vector<T> colData;
for (int i = 0; i < nRows; i++)
for (uint32_t i = 0; i < nRows; i++)
{
colData.push_back(data[i][col]);
}
@ -74,9 +74,9 @@ Map<double> *Map<T>::get_map_db()
{
Map<double> *map = new Map<double>(nRows, nCols);
for (int i = 0; i < nRows; i++)
for (uint32_t i = 0; i < nRows; i++)
{
for (int j = 0; j < nCols; j++)
for (uint32_t j = 0; j < nCols; j++)
{
map->data[i][j] = (double)10 * std::log10(std::abs(data[i][j]));
}
@ -88,9 +88,9 @@ Map<double> *Map<T>::get_map_db()
template <class T>
void Map<T>::print()
{
for (int i = 0; i < nRows; i++)
for (uint32_t i = 0; i < nRows; i++)
{
for (int j = 0; j < nCols; j++)
for (uint32_t j = 0; j < nCols; j++)
{
std::cout << data[i][j];
std::cout << " ";
@ -121,10 +121,10 @@ std::string Map<T>::to_json(uint64_t timestamp)
// store data array
rapidjson::Value array(rapidjson::kArrayType);
for (int i = 0; i < data.size(); i++)
for (size_t i = 0; i < data.size(); i++)
{
rapidjson::Value subarray(rapidjson::kArrayType);
for (int j = 0; j < data[i].size(); j++)
for (size_t j = 0; j < data[i].size(); j++)
{
subarray.PushBack(10 * std::log10(std::abs(data[i][j])) - noisePower, document.GetAllocator());
}
@ -133,14 +133,14 @@ std::string Map<T>::to_json(uint64_t timestamp)
// store delay array
rapidjson::Value arrayDelay(rapidjson::kArrayType);
for (int i = 0; i < delay.size(); i++)
for (size_t i = 0; i < delay.size(); i++)
{
arrayDelay.PushBack(delay[i], allocator);
}
// store Doppler array
rapidjson::Value arrayDoppler(rapidjson::kArrayType);
for (int i = 0; i < get_nRows(); i++)
for (uint32_t i = 0; i < get_nRows(); i++)
{
arrayDoppler.PushBack(doppler[i], allocator);
}
@ -171,7 +171,7 @@ std::string Map<T>::delay_bin_to_km(std::string json, uint32_t fs)
document.Parse(json.c_str());
document["delay"].Clear();
for (int i = 0; i < delay.size(); i++)
for (size_t i = 0; i < delay.size(); i++)
{
document["delay"].PushBack(1.0*delay[i]*(Constants::c/(double)fs)/1000, allocator);
}
@ -191,9 +191,9 @@ void Map<T>::set_metrics()
double value;
double noisePower = 0;
double maxPower = 0;
for (int i = 0; i < nRows; i++)
for (uint32_t i = 0; i < nRows; i++)
{
for (int j = 0; j < nCols; j++)
for (uint32_t j = 0; j < nCols; j++)
{
value = 10 * std::log10(std::abs(data[i][j]));
noisePower = noisePower + value;

2
src/data/Track.cpp
View file

@ -177,7 +177,7 @@ std::string Track::to_json(uint64_t timestamp)
// store track data
rapidjson::Value dataArray(rapidjson::kArrayType);
for (int i = 0; i < get_n(); i++)
for (uint64_t i = 0; i < get_n(); i++)
{
if (get_state(i) != STATE_TENTATIVE)
{

2
src/data/meta/Timing.cpp
View file

@ -33,7 +33,7 @@ std::string Timing::to_json()
document.AddMember("nCpi", n, allocator);
document.AddMember("uptime", uptime, allocator);
rapidjson::Value name_value;
for (int i = 0; i < time.size(); i++)
for (size_t i = 0; i < time.size(); i++)
{
name_value = rapidjson::StringRef(name[i].c_str());
document.AddMember(name_value, time[i], allocator);

44
src/process/ambiguity/Ambiguity.cpp
View file

@ -8,16 +8,20 @@
#include <chrono>
// constructor
Ambiguity::Ambiguity(int32_t _delayMin, int32_t _delayMax, int32_t _dopplerMin, int32_t _dopplerMax, uint32_t _fs, uint32_t _n, bool _roundHamming)
: delayMin{_delayMin}
, delayMax{_delayMax}
, dopplerMin{_dopplerMin}
, dopplerMax{_dopplerMax}
, fs{_fs}
, nSamples{_n}
, nDelayBins{static_cast<uint16_t>(_delayMax - _delayMin + 1)} // If delayMin > delayMax = trouble, what's the exception policy?
, dopplerMiddle{(_dopplerMin + _dopplerMax) / 2.0}
Ambiguity::Ambiguity(int32_t _delayMin, int32_t _delayMax,
int32_t _dopplerMin, int32_t _dopplerMax, uint32_t _fs,
uint32_t _n, bool _roundHamming)
{
// init
delayMin = _delayMin;
delayMax = _delayMax;
dopplerMin = _dopplerMin;
dopplerMax = _dopplerMax;
fs = _fs;
nSamples = _n;
nDelayBins = static_cast<uint16_t>(_delayMax - _delayMin + 1);
dopplerMiddle = (_dopplerMin + _dopplerMax) / 2.0;
// doppler calculations
std::deque<double> doppler;
double resolutionDoppler = 1.0 / (static_cast<double>(_n) / static_cast<double>(_fs));
@ -91,22 +95,22 @@ Map<std::complex<double>> *Ambiguity::process(IqData *x, IqData *y)
if (dopplerMiddle != 0)
{
std::complex<double> j = {0, 1};
for (int i = 0; i < x->get_length(); i++)
for (uint32_t i = 0; i < x->get_length(); i++)
{
x->push_back(x->pop_front() * std::exp(1.0 * j * 2.0 * M_PI * dopplerMiddle * ((double)i / fs)));
}
}
// range processing
for (int i = 0; i < nDopplerBins; i++)
for (uint16_t i = 0; i < nDopplerBins; i++)
{
for (int j = 0; j < nCorr; j++)
for (uint16_t j = 0; j < nCorr; j++)
{
dataXi[j] = x->pop_front();
dataYi[j] = y->pop_front();
}
for (int j = nCorr; j < nfft; j++)
for (uint16_t j = nCorr; j < nfft; j++)
{
dataXi[j] = {0, 0};
dataYi[j] = {0, 0};
@ -116,7 +120,7 @@ Map<std::complex<double>> *Ambiguity::process(IqData *x, IqData *y)
fftw_execute(fftYi);
// compute correlation
for (int j = 0; j < nfft; j++)
for (uint32_t j = 0; j < nfft; j++)
{
dataZi[j] = (dataYi[j] * std::conj(dataXi[j])) / (double)nfft;
}
@ -124,18 +128,18 @@ Map<std::complex<double>> *Ambiguity::process(IqData *x, IqData *y)
fftw_execute(fftZi);
// extract center of corr
for (int j = 0; j < nDelayBins; j++)
for (uint16_t j = 0; j < nDelayBins; j++)
{
dataCorr[j] = dataZi[nfft - nDelayBins + j];
}
for (int j = 0; j < nDelayBins + 1; j++)
for (uint16_t j = 0; j < nDelayBins + 1; j++)
{
dataCorr[j + nDelayBins] = dataZi[j];
}
// cast from std::complex to std::vector
corr.clear();
for (int j = 0; j < nDelayBins; j++)
for (uint16_t j = 0; j < nDelayBins; j++)
{
corr.push_back(dataCorr[nDelayBins + delayMin + j - 1 + 1]);
}
@ -144,10 +148,10 @@ Map<std::complex<double>> *Ambiguity::process(IqData *x, IqData *y)
}
// doppler processing
for (int i = 0; i < nDelayBins; i++)
for (uint16_t i = 0; i < nDelayBins; i++)
{
delayProfile = map->get_col(i);
for (int j = 0; j < nDopplerBins; j++)
for (uint16_t j = 0; j < nDopplerBins; j++)
{
dataDoppler[j] = {delayProfile[j].real(), delayProfile[j].imag()};
}
@ -155,7 +159,7 @@ Map<std::complex<double>> *Ambiguity::process(IqData *x, IqData *y)
fftw_execute(fftDoppler);
corr.clear();
for (int j = 0; j < nDopplerBins; j++)
for (uint16_t j = 0; j < nDopplerBins; j++)
{
corr.push_back(dataDoppler[(j + int(nDopplerBins / 2) + 1) % nDopplerBins]);
}

7
src/process/ambiguity/Ambiguity.h
View file

@ -6,6 +6,7 @@
/// @author 30hours
/// @todo Ambiguity maps are still offset by 1 bin.
/// @todo Write a performance test for hamming assisted ambiguity processing.
/// @todo If delayMin > delayMax = trouble, what's the exception policy?
#include "data/IqData.h"
#include "data/Map.h"
@ -73,12 +74,12 @@ private:
/// @brief Number of samples.
uint32_t nSamples;
/// @brief Center of Doppler bins (Hz).
double dopplerMiddle;
/// @brief Number of delay bins.
uint16_t nDelayBins;
/// @brief Center of Doppler bins (Hz).
double dopplerMiddle;
/// @brief Number of Doppler bins.
uint16_t nDopplerBins;

27
src/process/clutter/WienerHopf.cpp
View file

@ -57,11 +57,12 @@ WienerHopf::~WienerHopf()
bool WienerHopf::process(IqData *x, IqData *y)
{
uint32_t i, j;
xData = x->get_data();
yData = y->get_data();
// change deque to std::complex
for (int i = 0; i < nSamples; i++)
for (i = 0; i < nSamples; i++)
{
dataX[i] = xData[(((i - delayMin) % nSamples) + nSamples) % nSamples];
dataY[i] = yData[i];
@ -72,21 +73,21 @@ bool WienerHopf::process(IqData *x, IqData *y)
fftw_execute(fftY);
// auto-correlation matrix A
for (int i = 0; i < nSamples; i++)
for (i = 0; i < nSamples; i++)
{
dataA[i] = (dataOutX[i] * std::conj(dataOutX[i]));
}
fftw_execute(fftA);
for (int i = 0; i < nBins; i++)
for (i = 0; i < nBins; i++)
{
a[i] = std::conj(dataA[i]) / (double)nSamples;
}
A = arma::toeplitz(a);
// conjugate upper diagonal as arma does not
for (int i = 0; i < nBins; i++)
for (i = 0; i < nBins; i++)
{
for (int j = 0; j < nBins; j++)
for (j = 0; j < nBins; j++)
{
if (i > j)
{
@ -96,12 +97,12 @@ bool WienerHopf::process(IqData *x, IqData *y)
}
// cross-correlation vector b
for (int i = 0; i < nSamples; i++)
for (i = 0; i < nSamples; i++)
{
dataB[i] = (dataOutY[i] * std::conj(dataOutX[i]));
}
fftw_execute(fftB);
for (int i = 0; i < nBins; i++)
for (i = 0; i < nBins; i++)
{
b[i] = dataB[i] / (double)nSamples;
}
@ -121,21 +122,21 @@ bool WienerHopf::process(IqData *x, IqData *y)
}
// assign and pad x
for (int i = 0; i < nSamples; i++)
for (i = 0; i < nSamples; i++)
{
filtX[i] = dataX[i];
}
for (int i = nSamples; i < nBins + nSamples + 1; i++)
for (i = nSamples; i < nBins + nSamples + 1; i++)
{
filtX[i] = {0, 0};
}
// assign and pad w
for (int i = 0; i < nBins; i++)
for (i = 0; i < nBins; i++)
{
filtW[i] = w[i];
}
for (int i = nBins; i < nBins + nSamples + 1; i++)
for (i = nBins; i < nBins + nSamples + 1; i++)
{
filtW[i] = {0, 0};
}
@ -145,7 +146,7 @@ bool WienerHopf::process(IqData *x, IqData *y)
fftw_execute(fftFiltW);
// compute convolution/filter
for (int i = 0; i < nBins + nSamples + 1; i++)
for (i = 0; i < nBins + nSamples + 1; i++)
{
filt[i] = (filtW[i] * filtX[i]);
}
@ -153,7 +154,7 @@ bool WienerHopf::process(IqData *x, IqData *y)
// update surveillance signal
y->clear();
for (int i = 0; i < nSamples; i++)
for (i = 0; i < nSamples; i++)
{
y->push_back(dataY[i] - (filt[i] / (double)(nBins + nSamples + 1)));
}

4
src/process/meta/HammingNumber.cpp
View file

@ -25,11 +25,11 @@ HammingNumber::HammingNumber(const std::vector<unsigned int> &pfs)
const HammingNumber &HammingNumber::operator++()
{
for (int i = 0; i < H.size(); i++)
for (std::vector<unsigned int>::size_type i = 0; i < H.size(); i++)
for (; hv[i] <= x.back(); hv[i] = x[++hp[i]] * H[i])
;
x.push_back(hv[0]);
for (int i = 1; i < H.size(); i++)
for (std::vector<unsigned int>::size_type i = 1; i < H.size(); i++)
if (hv[i] < x.back())
x.back() = hv[i];
return *this;

9
src/process/spectrum/SpectrumAnalyser.cpp
View file

@ -31,8 +31,9 @@ SpectrumAnalyser::~SpectrumAnalyser()
void SpectrumAnalyser::process(IqData *x)
{
// load data and FFT
uint32_t i;
std::deque<std::complex<double>> data = x->get_data();
for (int i = 0; i < nfft; i++)
for (i = 0; i < nfft; i++)
{
dataX[i] = data[i];
}
@ -40,14 +41,14 @@ void SpectrumAnalyser::process(IqData *x)
// fftshift
std::vector<std::complex<double>> fftshift;
for (int i = 0; i < nfft; i++)
for (i = 0; i < nfft; i++)
{
fftshift.push_back(dataX[(i + int(nfft / 2) + 1) % nfft]);
}
// decimate
std::vector<std::complex<double>> spectrum;
for (int i = 0; i < nfft; i+=decimation)
for (i = 0; i < nfft; i+=decimation)
{
spectrum.push_back(fftshift[i]);
}
@ -60,7 +61,7 @@ void SpectrumAnalyser::process(IqData *x)
{
offset = bandwidth/2;
}
for (int i = -nSpectrum/2; i < nSpectrum/2; i++)
for (i = -nSpectrum/2; i < nSpectrum/2; i++)
{
frequency.push_back(((i*bandwidth)+offset+204640000)/1000);
}

6
src/process/tracker/Tracker.cpp
View file

@ -56,7 +56,9 @@ void Tracker::update(Detection *detection, uint64_t current)
std::vector<double> snr = detection->get_snr();
// init
double delayPredict, dopplerPredict, acc;
double delayPredict = 0.0;
double dopplerPredict = 0.0;
double acc = 0.0;
uint32_t nRemove = 0;
std::string state;
@ -65,7 +67,7 @@ void Tracker::update(Detection *detection, uint64_t current)
timestamp = current;
// loop over each track
for (int i = 0; i < track.get_n(); i++)
for (uint64_t i = 0; i < track.get_n(); i++)
{
// predict next position
Detection detectionCurrent = track.get_current(i);

6
src/process/utility/Socket.h
View file

@ -20,12 +20,12 @@ private:
/// @brief Common MTU size for all socket objects.
static const uint32_t MTU;
/// @brief The ASIO socket.
asio::ip::tcp::socket socket;
/// @brief The ASIO endpoint.
asio::ip::tcp::endpoint endpoint;
/// @brief The ASIO socket.
asio::ip::tcp::socket socket;
public:
/// @brief Constructor for Socket.
/// @param ip IP address of data destination.