Multiple Targets Tracking with Big Data-Based Measurement for Extended Binary Phase Shift Keying Transceiver.

Abstract

Extended binary phase shift keying (EBPSK) transmit-receive system is considered as a high-resolution radar tracking system. The target kinematic states can be estimated from a time series of target range and velocity measurements. The measurements usually have a huge amount of data. In this article, we present a big data-based tracking strategy comprising Doppler measurements as part of the data association procedure and evaluate the advantages of the proposed scheme. First, the principle of EBPSK transceiver is introduced. In the proposed system, range spread target can be denoted by the target impulse response. Second, we proposed an efficient big data association scheme that utilizes both target range and target velocity measurements for linear multitarget (LMs) tracking. When the target velocity measurements are not incorporated into target kinematic state estimation, the nonlinear filter bank for the combination of the component of target velocity measurements is not necessary. Finally, a great enhancement in the tracking performance of the big Doppler data association method with the LMs combined probabilistic data association scheme is demonstrated by simulation experiment.