Quantized Directional Cosine measurements based Localization

Abstract

Localization of target emitters using multiple simultaneous directional cosine (DC) measurements are popular and extremely useful in radar and sonar surveillance systems. Underwater localization, classification, and target tracking using hydrophone with limited bandwidth constraints is a challenging problem. In limited bandwidth applications, quantizing the measurements is an efficient way of representing measurements. The DC measurements are usually in the range of -1 to +1, the quantization of DC leads to inaccuracy in the estimated values. This paper presents the localization problem with quantized DC measurements in densely populated targets scenario. The localization achieved using two different estimation techniques: the least-squares (LS) triangulation and the Quasi newton (QN) method. Further, to explicitly study the quantization effect, we have used linear and optimal quantization techniques to quantize the DC measurements. The performance of the localization is quantified using the position root mean square error (PRMSE). © 2021 IEEE.