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In a Multi-Function Radar (MFR), the radar surveillance plays a critical role to optimize the radar performance. The surveillance usually takes more time than other functions. In this paper, we use the Adapt_MFR, an MFR radar simulator, to analyze the benefits of target prioritization. By simulation of a multiple target scenario, we try to find out both the benefits and disadvantages of prioritization...
In this paper, an IMM-NNJPDA tracker was evaluated to test its capability of handling sharp turn motions for ships. With the flexibility of disabling one of the two models, two additional trackers are available: a Constant Velocity (CV) model NNJPDA (CV-NNJPDA) tracker and a Singer model NNJPDA (Singer-NNJPDA) tracker. All three trackers were evaluated using a recorded High Frequency Surface Wave...
The scheduling of tracking update looks for a phased array radar is considered. A method called the Two-Slope Benefit Function (TSBF) Scheduler is formulated and requires that each tracking look have a benefit function, which specifies benefit as a function of start time. This method accounts for both look priority and target dynamics in formulating a look schedule. If the radar is overloaded with...
Phased array radars have been widely studied. One issue observed is that adjacent radar beams detect the same target. This multiplicity is resulted from a few factors such as the radar beam spacing, radar power, target size and trajectory etc. It degrades the radar performance greatly by asking for redundant confirmation beams and therefore increasing the false track rate. No public solutions to detection...
Multiple-input multiple-output (MIMO) radar utilizes orthogonal waveforms on each transmit element to achieve virtual aperture extension. Compared to a directed beam radar, MIMO radar has increased Doppler resolution due to the longer integration times required to maintain the same energy on target. However, the requirement for longer integration times can also cause target returns to be spread over...
Among the proposed nonlinear filtering algorithms, the unscented Kalman filter (UKF) has been recommended as a better choice than other algorithms for many applications. Recently, the cubature Kalman filter (CKF) was proposed, which was claimed to be even better. This study compares the two algorithms for two radar tracking applications, namely, high frequency surface wave radar (HFSWR) and passive...
In this article, we consider the bias issue in a passive tracking system which utilizes a mobile passive sensor network, where bearing-only sensors such as Inferred or ESM are used. Biases due to nonlinear transformations have already been recognized, but have not been studied for this particular case of converted pseudo measurements in a mobile passive sensor network. Based on the Taylor series,...
In this paper we present a multisensor-multitarget tracking testbed for large-scale distributed scenarios. The objective is to develop a testbed capable of handling multiple, heterogeneous sensors in a hierarchical architecture for maritime surveillance. The testbed consists of a scenario generator that can generate simulated data from multiple sensors including radar, sonar, IR and ESM as well as...
In the past decade many countries have launched programs to deploy wind turbines as alternative sources of electrical energy. When deployed in wind farms this technology has raised concerns from both air traffic control (ATC) and military authorities. This is due to the fact that the turbine blades return radar echoes that have the potential to distract and confuse the air traffic picture by creating...
This paper studies the performance of two IMM-based algorithms. The first is a traditional fixed structure IMM algorithm which has a constant velocity model and two constant acceleration models (IMMCVCA). The second is a variable structure IMM (VSIMM) algorithm. Radar data of maneuvering aircraft, generated by F-18 fighters and other commercial aircraft, were jointly collected by the defence departments...
In many applications, the interacting multiple model (IMM) estimator provides better performance over the single model Kalman filter (KF). However, there are two high frequency surface wave radar (HFSWR) factors which seem to make the IMM estimator less attractive: Firstly, the radar has a very long integration time, up to a few hundred seconds for ship detection; Secondly, the radar has very limited...
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