Performance Analysis of Bearing-Only Target Location Algorithms

Motti Gavish, Anthony J. Weiss

Research output: Contribution to journalArticlepeer-review


The performance of two well known bearing only location techniques, the maximum likelihood (ML) and the Stans field estimators, is examined. Analytical expressions are obtained for the bias and the covariance matrix of the estimation error, which permit performance comparison for any case of interest. It is shown that the Stansfield algorithm provides biased estimates even for large numbers of measurements, in contrast with the ML method. The rms error of the Stansfield technique is not necessarily larger than the rms of the ML technique. However, it is shown that the ML technique is superior to the Stansfield method when the number of measurements is large enough. Simulation results verify the predicted theoretical performance.

Original languageEnglish
Pages (from-to)817-828
Number of pages12
JournalIEEE Transactions on Aerospace and Electronic Systems
Issue number3
StatePublished - Jul 1992


Dive into the research topics of 'Performance Analysis of Bearing-Only Target Location Algorithms'. Together they form a unique fingerprint.

Cite this