Improved sequential music

• MUSIC (multiple signal classification) is one of the most frequently considered methods for source location using sensor arrays. Among the location methods based on one-dimensional search, MUSIC has excellent performance. in fact, no other one-dimensional method that may outperform MUSIC (in large samples) was known to exist Our goal here is to introduce such a method, called improved sequential MUSIC (IES-MUSIC), which is shown to be strictly more accurate than MUSIC (in large samples). First, a class of sequential MUSIC estimates is introduced, which depend on a scalar-valued user parameter. MUSIC is shown to be a special case of estimate in that class, corresponding to a value of uro for the user parameter. Next, the optimal user parameter value, which minimizes the asymptotic variance of the estimation errors, is derived IES-MUSIC is the method based on that optimal choice of the user parameter. Simulation results which Lend support to the theoretical findings are included.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Publication and Content Type

ref (subject category)

art (subject category)