Spatial smoothing for 2D array
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I am trying to test spatial smoothing for Music algorithm for direction finding with a 2D array. spsmooth function worked very well for 1D array, however, for 2D array the function does not work. The change in azimuth/elevation or change in both dimensions translates into one dimension (for one Tx signal). All changes looks like happen in either x/y dimension. It does not also serve the actual purpose (eg. decorrelating incoming signal, it becomes hard to locate the angle for both signals). I am testing the function with real measured value with antenna.
Is there any such a function like spsmooth for 2D array?
2 commentaires
Brahim Saadi
le 30 Mai 2017
I don't think so. You would have to implement 2-D spatial smoothing yourself.
Santhana Raj
le 31 Mai 2017
You can perform the spsmooth on each row of your co-variance matrix and then also perform on each column, to get spatial smoothing on 2D.
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Honglei Chen
le 31 Mai 2017
The spatial smoothing implementation has a lot to do with how the subarrays are divided. For a linear array, although not a must, a lot of people does what spsmooth does. However, for a 2D aperture, there are a lot more freedom on designing those subarrays. May I ask if you are using a rectangular array, or some other arbitrary geometries? And could you share how you partition the subarrays? All these factors impact the implementation.
2 commentaires
Honglei Chen
le 22 Juin 2017
Sorry I didn't follow up sooner. It looks like the spatial smoothing requires some symmetry in the geometry so you can do the averaging between two subarrays. It is hard to explore that in the L shaped array so the solution is not trivial to implement. You may want to use some other DOA estimator that is more immune to the coherent signals?
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