Best way to smooth GPS data

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T
T 2017-5-4
回答： Anurag Raghuvanshi 2017-12-1
Hi, I have a GPS signal sampled at 1Hz. It is too noisy, so I want to smooth the signal. I tried using a moving average, but it is not good enough. Any other good ways to smooth it? What would be a good filter method? Thanks!
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John D'Errico
John D'Errico 2017-5-4
编辑：John D'Errico 2017-5-4
There is no "best" way to smooth some general signal. Not good enough can mean a variety of things, since of course we always want a perfectly smooth result. But we can't always get what we want.
Arguably, you need to do some reading, perhaps take a course in signal processing. Unfortunately, the answer to your question is an entire course in signal processing. For example, you might use a conv based smoother. You might use a smoothing spline. You might use Savitsy-Golay methods. You might use time series methods, to identify what is happening in your signal, smoothing it.
But the best way is surely dependent on what you know (so what you will understand to be able to then use) and the signal itself.

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回答（3 个）

Sachin Kumar
Sachin Kumar 2017-5-9
Check these different smoothing methods:
https://www.mathworks.com/help/signal/examples/signal-smoothing.html?s_tid=answers_rc2-1_p4_Topic
Use a method according to your kind of signal.
Walter Roberson
Walter Roberson 2017-5-9
http://www.gps.gov/systems/gps/performance/accuracy/
"For example, GPS-enabled smartphones are typically accurate to within a 4.9 m (16 ft.) radius under open sky (view source at ION.org). However, their accuracy worsens near buildings, bridges, and trees."
So... if you need GPS signals that are not noisy, you should either be using professional dual-frequency systems, or you should be using GPS augmentation systems, such as by establishing at least one terrestrial GPS transmitter at a location known to high accuracy.
Noisy GPS is just how the technology works.
You could wait at each waypoint for long enough that any local atmospheric conditions would change (e.g., sit at each location for half a day while it stopped raining -- or until it started raining again), taking many readings at the same location, and doing statistical averaging. Waiting only a few seconds or a small number of minutes at each location would not be enough to be sure that atmospheric distortion had been averaged away.
Anurag Raghuvanshi
Anurag Raghuvanshi 2017-12-1
Best way to smooth the data would be to use a hatch filter, it is known as carrier smoothed code, basically what it does is smooths out the multipath and receiver noise on the code with the help of low noise on carrier.

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