Joint CFAR detection and parameter estimation of different marine targets using Forward Scatter Radar

Abstract

In this paper we research one joint structure of the CFAR detector and a parameter estimation of the moving different marine targets at the background of a sea clutter using Bistatic Forward Scatter Radar (FSR) system. In our investigates we use the two pulse MTI CFAR processor with K/M-L batch processor and parameter estimator for a marine target with unknown size are investigated on the base of real data records. The aim of the paper is to make statistical estimation of various target parameters [6][7][8][9]. These specific parameters necessary for Data Mining Classification have been obtained in the time and the frequency domains for different marine targets.The data itself have been gathered by the team of the Birmingham University using in-house developed FSR.

Experimental verification of maritime target parameter evaluation in forward scatter maritime radar

“…3. Different aspects and subsystems of the presented flow chart have been investigated and reported by the authors [9][10][11][12][13][14][15][16][17][18].…”

“…In [9, 10], moving target indication (MTI) was used to reject sea clutter in maritime FSR. The other approach was proposed in [16], where a local variance filter (LVF) was used for pre‐processing of both envelope and phase.…”

“…At the output of the ‘K/M‐L’ detector estimations are given for the positions of the signal beginning – K1, the signal end – K2 and the maximum of the envelope – Kmax. In [9, 10], these parameters have been calculated with/without MTI, and in this way have been evaluated the following signal parameters – duration, average power and average energy. These attributes of the target signal are used for classification of maritime targets with the data mining approach using the WEKA software [15].…”

“…A number of the papers published by the authors were dedicated to target speed and length estimation [9][10][11][12][13][14][15][16][17][18]. In [11], the rough approach for calculation of the velocity and length of marine targets in an FSR, based on FSR constant false alarm rate (CFAR) detector and estimator, was preliminarily considered in order to evaluate the signal dwell time.…”

Comparative Analysis of Two GPS Forward Scattering Systems For Cars Parameter Estimation

“…A possible algorithm for target detection using GPS L5-based FSR system is described in [6], and the detection probability characteristics are analytically calculated in [7]. The next few articles [5][6][7][8][9][10][11][12] are devoted to experimental measurements made by using GPS L1-based FSR system and the Software-Defined GPS receiver, developed by the Aerospace Department in the University of Colorado [13], allowing to observe the geometric shadows (signal blocking) of ground objects of different sizes, mobile and stationary. The obtained recordings are not available for processing in the field conditions because the processing of radio shadows of objects requires the additional time in the laboratory, which further impedes research.…”