1 | /************************************ |
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2 | Extended Kalman Filter |
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3 | Matrix operations |
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4 | |
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5 | V. Smidl |
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6 | |
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7 | Rev. 30.8.2010 |
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8 | |
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9 | 30.8.2010 Prvni verze |
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10 | |
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11 | *************************************/ |
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12 | #include "fixed.h" |
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13 | #include "stdio.h" |
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14 | /* Matrix multiply Full matrix by upper diagonal matrix; */ |
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15 | void mmultAU(int *m1, int *up, int *result, unsigned int rows, unsigned int columns){ |
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16 | unsigned int i, j, k; |
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17 | long tmp_sum=0L; |
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18 | int *m2pom; |
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19 | |
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20 | for (i=0; i<rows; i++) //rows of result |
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21 | { |
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22 | for (j=0; j<columns; j++) //columns of result |
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23 | { |
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24 | m2pom=up+j;//?? |
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25 | |
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26 | for (k=0; k<j; k++) //inner loop up to "j" - U(j,j)==1; |
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27 | { |
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28 | tmp_sum+=(long)(*m1++)**m2pom; |
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29 | m2pom+=columns; |
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30 | } |
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31 | // add the missing A(i,j) |
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32 | tmp_sum +=(long)(*m1)<<15; // no need to shift |
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33 | m1-=(j); // shift back to first element |
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34 | |
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35 | // saturation effect |
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36 | tmp_sum=tmp_sum>>15; |
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37 | if (tmp_sum>32767) tmp_sum=32767; |
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38 | if (tmp_sum<-32768) tmp_sum=-32768; |
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39 | |
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40 | *result++=tmp_sum; |
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41 | |
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42 | tmp_sum=0; |
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43 | } |
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44 | m1+=(columns); |
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45 | } |
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46 | }; |
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47 | |
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48 | void UDprt(int *U, int *D){ |
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49 | return; |
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50 | for (int i=0;i<5;i++){ |
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51 | for (int j=0;j<5;j++){ |
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52 | printf("%d,",U[i*5+j]); |
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53 | } |
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54 | printf("\n"); |
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55 | } |
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56 | for (int i=0;i<5;i++){printf("%d,",D[i]);} |
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57 | printf("\n"); |
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58 | } |
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59 | |
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60 | // Thorton procedure - Kalman predictive variance in UD |
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61 | void thorton(int *U, int *D, int *PSIU, int *Q, int *G, int *Dold, unsigned int rows){ |
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62 | unsigned int i,j,k; |
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63 | // copy D to Dold |
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64 | int *Dold_pom=Dold; |
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65 | for (i=0;i<rows;i++){*Dold_pom++=*D++;} |
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66 | D-=rows; // back to first D |
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67 | |
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68 | // initialize G = eye() |
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69 | int *G_pom = G; |
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70 | *G_pom++=1<<14; |
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71 | for (i=0;i<rows-1;i++){ |
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72 | // clean elem before diag |
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73 | for (j=0; j<rows; j++){ |
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74 | *G_pom++=0.0; |
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75 | } |
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76 | *G_pom++=1<<14; |
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77 | } |
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78 | // eye created |
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79 | |
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80 | long sigma; // in q15 |
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81 | for (i=rows-1; i>=0;i--){ // check i==0 at the END! |
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82 | sigma = 0; |
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83 | |
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84 | for (j=0;j<rows; j++){ |
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85 | sigma += (((long)PSIU[i+j*rows]*PSIU[i+j*rows])>>15)*(Dold[i]); |
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86 | } |
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87 | sigma += Q[i+i*rows]; |
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88 | for (j=i+1;j<rows; j++){ |
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89 | sigma += (((long)G[i+j*rows]*G[i+j*rows])>>13)*Q[j+j*rows]; |
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90 | } |
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91 | |
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92 | *(D+i)=sigma>>15; |
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93 | if (D[i]==0) D[i]=1; |
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94 | |
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95 | /* printf("d=sig\n"); |
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96 | UDprt(U,D); |
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97 | UDprt(G,Dold);*/ |
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98 | |
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99 | for (j=0;j<i;j++){ |
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100 | // printf("\n%d,%d\n",i,j); |
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101 | sigma =0; |
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102 | for (k=0;k<rows;k++){ |
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103 | sigma += ((((long)PSIU[i*rows+k])*PSIU[j*rows+k])>>15)*Dold[k]; |
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104 | } |
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105 | for (k=0;k<rows;k++){ |
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106 | sigma += ((((long)G[i*rows+k])*G[j*rows+k])>>13)*Q[k*rows+k]; |
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107 | } |
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108 | long z=sigma/D[i]; // shift by 15 |
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109 | if (z>32767) z=32767; |
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110 | if (z<-32768) z=-32768; |
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111 | |
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112 | U[j*rows+i] = (int)z; |
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113 | |
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114 | /* printf("U=sig/D\n"); |
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115 | UDprt(U,D); |
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116 | UDprt(G,Dold);*/ |
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117 | |
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118 | for (k=0;k<rows;k++){ |
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119 | PSIU[j*rows+k] -= ((long)U[j*rows+i]*PSIU[i*rows+k])>>15; |
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120 | } |
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121 | for (k=0;k<rows;k++){ |
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122 | G[j*rows+k] -= ((long)U[j*rows+i]*G[i*rows+k])>>15; |
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123 | } |
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124 | |
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125 | /* printf("end\n"); |
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126 | UDprt(U,D); |
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127 | UDprt(G,Dold); |
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128 | printf("\n"); */ |
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129 | } |
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130 | if(i==0) return; |
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131 | } |
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132 | } |
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133 | |
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134 | void bierman(int *difz, int *xp, int *U, int *D, int *R, unsigned int dimy, unsigned int dimx ){ |
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135 | long alpha; |
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136 | long gamma,beta,lambda; |
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137 | int b[5]; |
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138 | int *a; // in [0,1] -> q15 |
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139 | unsigned int iy,j,i; |
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140 | |
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141 | for (iy=0; iy<dimy; iy++){ |
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142 | // a is a row |
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143 | a = U+iy*dimx; // iyth row of U |
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144 | for (j=0;j<dimx;j++) |
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145 | b[j]=((long)D[j]*a[j])>>15; |
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146 | |
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147 | alpha = (long)R[iy]; //\alpha = R+vDv = R+a*b |
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148 | // R in q15, a in q15, b=q15 |
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149 | gamma = (1<<15)/alpha; //(in q15) |
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150 | //min alpha = R[iy] = 164 |
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151 | //max gamma = 0.0061 => gamma_ref = q7 |
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152 | for (j=0;j<dimx;j++){ |
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153 | beta = alpha; |
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154 | alpha += ((long)(a[j])*b[j]>>15); |
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155 | lambda = -(a[j])*gamma>>15; |
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156 | gamma = (1<<15)/alpha; // in q15 now |
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157 | int mpl=((long)beta*gamma); // no-shift, max_gamma=2^15 |
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158 | D[j] = (long)mpl*D[j]>>15; //gamma is long |
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159 | if (D[j]==0) D[j]=1; |
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160 | |
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161 | // cout << "a: " << alpha << "g: " << gamma << endl; |
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162 | for (i=0;i<j;i++){ |
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163 | beta = U[i*dimx+j]; |
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164 | U[i*dimx+j] += (lambda*b[i])>>15; |
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165 | b[i] += (beta*b[j])>>15; |
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166 | } |
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167 | } |
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168 | int dzs = (gamma*(difz[iy]))>>15; // apply scaling to innovations |
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169 | // no shift due to gamma |
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170 | for (i=0; i<dimx; i++){ |
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171 | xp[i] += ((long)dzs*b[i])>>15; // multiply by unscaled Kalman gain |
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172 | } |
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173 | |
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174 | //cout << "Ub: " << U << endl; |
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175 | //cout << "Db: " << D << endl <<endl; |
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176 | |
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177 | } |
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178 | |
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179 | } |
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