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    發(fā)布日期: 2021-05-20
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  • 標(biāo)簽: kalman??

資源簡介

data linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalman filter has been the subject of extensive research and application, particularly in the area of autonomous or assisted navigation. A very “friendly” introduction to the general idea of the Kalman filter can be found in Chapter 1 of [Maybeck79], while a more complete introductory discussion can be found in [Sorenson70], which also contains some interesting historical narrative. More extensive references include [Gelb74; Grewal93; Maybeck79; Lewis86; Brown92; Jacobs93].

資源截圖

代碼片段和文件信息

function?[FHQRinitx?initV]?=?AR_to_SS(coef?C?y)
%
%?Convert?a?vector?auto-regressive?model?of?order?k?to?state-space?form.
%?[FHQR]?=?AR_to_SS(coef?C?y)
%?
%?X(i)?=?A(1)?X(i-1)?+?...?+?A(k)?X(i-k+1)?+?v?where?v?~?N(0?C)
%?and?A(i)?=?coef(::i)?is?the?weight?matrix?for?i?steps?ago.
%?We?initialize?the?state?vector?with?[y(:k)‘?...?y(:1)‘]‘?since
%?the?state?vector?stores?[X(i)?...?X(i-k+1)]‘?in?order.

[s?s2?k]?=?size(coef);?%?s?is?the?size?of?the?state?vector
bs?=?s?*?ones(1k);?%?size?of?each?block

F?=?zeros(s*k);
for?i=1:k
???F(block(1bs)?block(ibs))?=?coef(::i);
end
for?i=1:k-1
??F(block(i+1bs)?block(ibs))?=?eye(s);
end

H?=?zeros(1*s?k*s);
%?we?get?to?see?the?most?recent?component?of?the?state?vector?
H(block(1bs)?block(1bs))?=?eye(s);?
%for?i=1:k
%??H(block(1bs)?block(ibs))?=?eye(s);
%end

Q?=?zeros(k*s);
Q(block(1bs)?block(1bs))?=?C;

R?=?zeros(s);

initx?=?zeros(k*s?1);
for?i=1:k
??initx(block(ibs))?=?y(:?k-i+1);?%?concatenate?the?first?k?observation?vectors
end

initV?=?zeros(k*s);?%?no?uncertainty?about?the?state?(since?perfectly?observable)

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????目錄??????????0??2005-10-17?23:27??kalman濾波工具箱

?????目錄??????????0??2005-10-17?23:27??kalman濾波工具箱\KalmanAll

????..AD...?????????0??2005-10-17?23:27??kalman濾波工具箱\KalmanAll\Kalman

?????文件???????1107??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\AR_to_SS.m

?????文件????????425??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\convert_to_lagged_form.m

?????文件????????354??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\ensure_AR.m

?????文件???????1045??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\eval_AR_perf.m

?????文件???????2899??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\kalman_filter.m

?????文件???????2392??2002-11-01?16:32??kalman濾波工具箱\KalmanAll\Kalman\kalman_forward_backward.m

?????文件???????1584??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\kalman_smoother.m

?????文件???????1840??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\kalman_update.m

?????文件???????1022??2002-10-23?08:17??kalman濾波工具箱\KalmanAll\Kalman\learning_demo.m

?????文件????????819??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\learn_AR.m

?????文件????????687??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\learn_AR_diagonal.m

?????文件???????5498??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\learn_kalman.m

?????文件????????485??2004-06-07?07:39??kalman濾波工具箱\KalmanAll\Kalman\README.txt

?????文件????????535??2003-01-18?13:47??kalman濾波工具箱\KalmanAll\Kalman\README.txt~

?????文件???????1797??2003-01-24?11:36??kalman濾波工具箱\KalmanAll\Kalman\sample_lds.m

?????文件???????1199??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\smooth_update.m

?????文件????????579??2002-05-29?08:59??kalman濾波工具箱\KalmanAll\Kalman\SS_to_AR.m

?????文件?????????28??2005-06-08?18:56??kalman濾波工具箱\KalmanAll\Kalman\testKalman.m

?????文件???????1960??2003-01-18?14:49??kalman濾波工具箱\KalmanAll\Kalman\tracking_demo.m

????..AD...?????????0??2005-10-17?23:27??kalman濾波工具箱\KalmanAll\KPMstats

?????文件????????267??2005-05-03?13:08??kalman濾波工具箱\KalmanAll\KPMstats\#histCmpChi2.m#

?????文件???????1955??2005-04-25?19:29??kalman濾波工具箱\KalmanAll\KPMstats\beta_sample.m

?????文件????????199??2005-04-25?19:29??kalman濾波工具箱\KalmanAll\KPMstats\chisquared_histo.m

?????文件???????1326??2005-04-25?19:29??kalman濾波工具箱\KalmanAll\KPMstats\chisquared_prob.m

?????文件???????1389??2005-04-25?19:29??kalman濾波工具箱\KalmanAll\KPMstats\chisquared_readme.txt

?????文件???????2127??2005-04-25?19:29??kalman濾波工具箱\KalmanAll\KPMstats\chisquared_table.m

?????文件???????5884??2005-04-25?19:29??kalman濾波工具箱\KalmanAll\KPMstats\clg_Mstep.m

............此處省略270個(gè)文件信息

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