Unexpected FFT output of the impulse response of an integrator - MATLAB

I am trying to get the frequency response of any transfer functions using the Fourier transform of the impulse response of the system. It works pretty well for most of the cases tested but I still have a problem with transfer functions in which there is an integrator (e.g. 1/s ; (4s+2)/(3s^2+s) etc.).

Let's take the example of a pure integrator with H(s) = 1/s. The impulse response obtained is a step function as expected but then, the Fourier transform of the impulse response does not give the expected theoretical results. Instead it gives really small results and do not lead to the classic characteristics of an integrator (-20dB/decade magnitude and -90deg phase) after processing.

Maybe a few lines of codes can be helpful if I was not clear enough:

h = tf(1,[1 0]);
t_step = .1;
t = [0 : t_step : 100000]';
[y,t1] = impulse(h,t);
y_fft = fft(y);

Do you know where this problem may come from? If you need further information, please let me know. I am working on MATLAB R2013b.

Solution

As mentioned in my comment, the problem is related to:

fft assumes a periodic signal, i.e. an infinite repetition of the provided discrete signal
you should also include the response for negative times, i.e. before the pulse occured.

h = tf(1,[1 0]);
t_step = 1;
t = [0 : t_step : 999]';
[y,t1] = impulse(h,t);

y = [y; zeros(1000, 1)];
y_fft = fft(y);

figure
semilogx(db(y_fft(1:end/2)), 'r.');

figure
semilogx(180/pi*angle(y_fft(y_fft(1:end/2)~=0)), 'r');

Further remarks

Note that due to the periodicity of the fft (and y), half of the values are minus infinity, which I did not plot to obtain a nicer result.
Note that the effect of the difference between the fft and the continuous fourier transform depends on the real fourier transform of the impulse response. Especially aliasing may be a problem.