An Efficient Radar Registration Algorithm Using ADS-B

摘要

Range, azimuth and time biases of a radar introduce systematic errors in the reported positions of aircraft in air traffic control systems. These biases can be computed, and subsequently corrected for, by registering radar reports to the more accurate Automatic Dependent Surveillance - Broadcast (ADS-B) reports. This paper presents a simple least-squares problem formulation, which is virtually free of geometric constraints on target locations, yet provides a robust converging algorithm to compute the biases. This least-squares method is compared to the recently published PR2 method, a least squares formulation, in which range and azimuth biases are computed separately. Though the proposed least-squares problem would theoretically involve inversion of a 3x3 matrix, it is shown that the matrix cofactors are simple enough to avoid such complex computations.