Bouncing readings in an FFT
My current scenario is this:
I am sampling at 4080hz (I started with 4096 and found that the amplitude peak/centering was at 4080hz) taking 2048 samples. With the samples, I am using Welch's method reconstructing 9 1024 sections overlapping equally. Each section has a Blackman Window applied. I then run a 512 point complex input FFT (using all real data) on each section, convert the output data to complex data and find magnitudes. Each section's magitude is squared, accumulated and then averaged at the end to get the final number.
I have run tests using an oscillator, inputting 75hz only and can scale it to match a DMM with good accuracy and little bounce (5th digit dithers).
I am almost positive that my results are due to spectral leakage. Is there any further pre-processing that could be done to improve my results with mixed frequencies? Is it possible to use an FIR filter before the FFT to reduce the unwanted 60hz noise. Is zero padding a possibility, doubling the 1024 original samples with 1024 zeros and doing a 1024 point FFT?