EKF: remove Ekf::KHP and move KHP to the methods where it's used

Everywhere where KHP is used, it is first completely reset, thus making
it unnecessary to keep it as a class member.

This saves 2.3KB RAM.

Stack sizes don't need changing, since there is already a function
Ekf::predictCovariance(), which needs around 3KB of stack and is called
close to where the fuse* functions are called.
This commit is contained in:
Beat Küng
2016-11-01 12:50:29 +01:00
committed by Lorenz Meier
parent 227938d263
commit 25cb400da9
5 changed files with 6 additions and 1 deletions
+1
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@@ -169,6 +169,7 @@ void Ekf::fuseAirspeed()
KH[row][23] = Kfusion[row] * H_TAS[23];
}
float KHP[_k_num_states][_k_num_states];
for (unsigned row = 0; row < _k_num_states; row++) {
for (unsigned column = 0; column < _k_num_states; column++) {
float tmp = KH[row][4] * P[4][column];
-1
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@@ -239,7 +239,6 @@ private:
float P[_k_num_states][_k_num_states]; // state covariance matrix
float KH[_k_num_states][_k_num_states]; // intermediate variable for the covariance update
float KHP[_k_num_states][_k_num_states]; // intermediate variable for the covariance update
float _vel_pos_innov[6]; // innovations: 0-2 vel, 3-5 pos
float _vel_pos_innov_var[6]; // innovation variances: 0-2 vel, 3-5 pos
+3
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@@ -320,6 +320,7 @@ void Ekf::fuseMag()
}
float KHP[_k_num_states][_k_num_states];
for (unsigned row = 0; row < _k_num_states; row++) {
for (unsigned column = 0; column < _k_num_states; column++) {
float tmp = KH[row][0] * P[0][column];
@@ -643,6 +644,7 @@ void Ekf::fuseHeading()
}
}
float KHP[_k_num_states][_k_num_states];
for (unsigned row = 0; row < _k_num_states; row++) {
for (unsigned column = 0; column < _k_num_states; column++) {
float tmp = KH[row][0] * P[0][column];
@@ -779,6 +781,7 @@ void Ekf::fuseDeclination()
}
}
float KHP[_k_num_states][_k_num_states];
for (unsigned row = 0; row < _k_num_states; row++) {
for (unsigned column = 0; column < _k_num_states; column++) {
float tmp = KH[row][16] * P[16][column];
+1
View File
@@ -439,6 +439,7 @@ void Ekf::fuseOptFlow()
}
}
float KHP[_k_num_states][_k_num_states];
for (unsigned row = 0; row < _k_num_states; row++) {
for (unsigned column = 0; column < _k_num_states; column++) {
float tmp = KH[row][0] * P[0][column];
+1
View File
@@ -239,6 +239,7 @@ void Ekf::fuseVelPosHeight()
}
// update covarinace matrix via Pnew = (I - KH)P
float KHP[_k_num_states][_k_num_states];
for (unsigned row = 0; row < _k_num_states; row++) {
for (unsigned column = 0; column < _k_num_states; column++) {
KHP[row][column] = Kfusion[row] * P[state_index][column];