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- updated table to 2 bytes (int16) per element and scaled the inclination/declination/strength tables to use most of the range without being too awkward - tables have been extended to include the full latitude range - expanded the API slightly to offer declination/inclination in both degrees/radians and the magnetic strength in Gauss and Tesla - generated some simple testing that verifies interpolation between points
129 lines
4.9 KiB
C++
129 lines
4.9 KiB
C++
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*
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* Copyright (c) 2014-2020 Estimation and Control Library (ECL). All rights reserved.
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****************************************************************************/
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/**
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* @file geo_mag_declination.cpp
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*
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* Calculation / lookup table for Earth's magnetic field declination (deg), inclination (deg) and strength (mTesla).
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* Data generated by https://www.ngdc.noaa.gov/geomag-web/#igrfgrid IGRF calculator on 22 Jan 2018
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*
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* XXX Lookup table currently too coarse in resolution (only full degrees)
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* and lat/lon res - needs extension medium term.
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*
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*/
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#include "geo_mag_declination.h"
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#include "geo_magnetic_tables.hpp"
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#include <mathlib/mathlib.h>
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#include <math.h>
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#include <stdint.h>
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using math::constrain;
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static constexpr unsigned get_lookup_table_index(float *val, float min, float max)
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{
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/* for the rare case of hitting the bounds exactly
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* the rounding logic wouldn't fit, so enforce it.
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*/
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/* limit to table bounds - required for maxima even when table spans full globe range */
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/* limit to (table bounds - 1) because bilinear interpolation requires checking (index + 1) */
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*val = constrain(*val, min, max - SAMPLING_RES);
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return static_cast<unsigned>((-(min) + *val) / SAMPLING_RES);
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}
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static constexpr float get_table_data(float lat, float lon, const int16_t table[LAT_DIM][LON_DIM])
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{
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lat = math::constrain(lat, SAMPLING_MIN_LAT, SAMPLING_MAX_LAT);
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if (lon > SAMPLING_MAX_LON) {
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lon -= 360;
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}
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if (lon < SAMPLING_MIN_LON) {
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lon += 360;
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}
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/* round down to nearest sampling resolution */
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float min_lat = floorf(lat / SAMPLING_RES) * SAMPLING_RES;
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float min_lon = floorf(lon / SAMPLING_RES) * SAMPLING_RES;
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/* find index of nearest low sampling point */
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unsigned min_lat_index = get_lookup_table_index(&min_lat, SAMPLING_MIN_LAT, SAMPLING_MAX_LAT);
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unsigned min_lon_index = get_lookup_table_index(&min_lon, SAMPLING_MIN_LON, SAMPLING_MAX_LON);
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const float data_sw = table[min_lat_index][min_lon_index];
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const float data_se = table[min_lat_index][min_lon_index + 1];
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const float data_ne = table[min_lat_index + 1][min_lon_index + 1];
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const float data_nw = table[min_lat_index + 1][min_lon_index];
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/* perform bilinear interpolation on the four grid corners */
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const float lat_scale = constrain((lat - min_lat) / SAMPLING_RES, 0.f, 1.f);
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const float lon_scale = constrain((lon - min_lon) / SAMPLING_RES, 0.f, 1.f);
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const float data_min = lon_scale * (data_se - data_sw) + data_sw;
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const float data_max = lon_scale * (data_ne - data_nw) + data_nw;
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return lat_scale * (data_max - data_min) + data_min;
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}
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float get_mag_declination_radians(float lat, float lon) {
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return get_table_data(lat, lon, declination_table) * 1e-4f; // declination table stored as 10^-4 radians
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}
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float get_mag_declination_degrees(float lat, float lon) {
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return math::degrees(get_mag_declination_radians(lat, lon));
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}
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float get_mag_inclination_radians(float lat, float lon) {
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return get_table_data(lat, lon, inclination_table) * 1e-4f; // inclination table stored as 10^-4 radians
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}
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float get_mag_inclination_degrees(float lat, float lon) {
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return math::degrees(get_mag_inclination_radians(lat, lon));
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}
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float get_mag_strength_gauss(float lat, float lon)
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{
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return get_table_data(lat, lon, strength_table) * 1e-4f; // strength table table stored as milli-Gauss * 10
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}
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float get_mag_strength_tesla(float lat, float lon)
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{
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return get_mag_strength_gauss(lat, lon) * 1e-4f; // 1 Gauss == 0.0001 Tesla
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}
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