testimmjpda.asv

多目标跟踪 (三维)-算法matlab编制

state_dm=9;
target_no=2;
flag=0;
prob=[0.2, 0.3,0.22,0.25,0.36,0.35,0.58,0.48,0.69,0.58,0.66,0.54];
mes=[32.264,12.894,0,24.016,23.798,0,77.194,47.136,0,1.8942,-346.27,0,314.32,-176.08,0,275.51,-9.0171,0,367.85,-234.7,0,-14.179,-246.48,0,-14.741,-209.7,0,154.74,-199.57,0,119.26,-311.49,0,58.041,-122.69,0];
mes_total=12;
x1=[32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942];
p1=[32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,
    32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,
    32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942];
x2=[32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.894];
p2=[32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,
    32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,
    32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942,32.264,23.798,1.8942];    
f_immjpda(state_dm,target_no,flag,prob,mes,mes_total,x1,p1,x2,p2)