lsqcurvefit not finding best fit

I'm trying to fit a sin wave pulse, and I can't get lsqcurvefit (or nlinfit) to properly fit the start/stop times of the pulse. Here's the code I'm using:

f = @(a,t) a(1) + a(2).*sin(2*pi*a(3).*t + a(4)).*(t > a(5)/1000).*(t < a(6)/1000);
a0 = [4.806,1.1,1000,-2.43,5,40];
lb = [4,0, 990,-2*pi,0,1000*t(end)/2];
ub = [6,6,1010, 2*pi,1000*t(end)/2,1000*t(end)];
options = optimoptions('lsqcurvefit','TolX',1E-12,'TolFun',1E-12,'display','iter');

[a,resnorm,resid,exitflag,output,lambda,jacobian] = lsqcurvefit(f,a0,t,y,lb,ub,options);
plot(t,y,':',t,f(a,t),'-','LineWidth',2)

And here's the resulting output:

                                           Norm of      First-order 
   Iteration  Func-count     f(x)          step          optimality
       0          7         7077.56                      7.47e+06
       1         14         6263.64       0.116348            651      
       2         21         6253.51      0.0151571           9.82      
       3         28         6253.51    0.000237627        0.00237      
       4         35         6253.51    6.05696e-08       3.65e-06      

Local minimum possible.

lsqcurvefit stopped because the size of the current step is less than
the selected value of the step size tolerance.

a(5) and a(6) remain unchanged from the intial guess (5 and 40). Any tips on what I need to do to make this work?

Answer 1

[Alan Weiss]

You probably need to set larger finite differences on your a(5) and a(6) coefficients. Remember, lsqcurvefit is for differentiable functions, and your objective is not smooth in the a(5) and a(6) coefficients. See Optimizing a Simulation or ODE for a discussion about setting finite differences.

Alan Weiss

MATLAB mathematical toolbox documentation