Note: This page has been translated by MathWorks. Click here to see

To view all translated materials including this page, select Country from the country navigator on the bottom of this page.

To view all translated materials including this page, select Country from the country navigator on the bottom of this page.

Narrowband linearly constrained minimum variance (LCMV) beamformer weights

`wt = lcmvweights(constr,resp,cov)`

returns
narrowband linearly-constrained minimum variance (LCMV) beamformer
weights, `wt`

= lcmvweights(`constr`

,`resp`

,`cov`

)`wt`

, for a phased array. When applied
to the elements of the array, these weights steer the response of
the array toward a specific arrival direction or set of directions.
LCMV beamforming requires that the beamformer response to signals
from a direction of interest are passed with specified gain and phase
delay. However, power from interfering signals and noise from all
other directions is minimized. Additional constraints may be imposed
to specifically nullify output power coming from known directions.
The constraints are contained in the matrix, `constr`

.
Each column of `constr`

represents a separate constraint
vector. The desired response to each constraint is contained in the
response vector, `resp`

. The argument `cov`

is
the sensor spatial covariance matrix. All elements in the sensor array
are assumed to be isotropic.

[1] Van Trees, H.L. *Optimum Array
Processing*. New York, NY: Wiley-Interscience, 2002.

[2] Johnson, Don H. and D. Dudgeon. *Array
Signal Processing*. Englewood Cliffs, NJ: Prentice Hall,
1993.

[3] Van Veen, B.D. and K. M. Buckley. “Beamforming:
A versatile approach to spatial filtering”. *IEEE
ASSP Magazine*, Vol. 5 No. 2 pp. 4–24.

`cbfweights`

| `mvdrweights`

| `phased.LCMVBeamformer`

| `sensorcov`

| `steervec`