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Posterior Cramér-Rao Lower Bound for Angle-Only Filtering in 3D
2018 Edition, October 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In our previous work, we compared the performance of a number of nonlinear filters for the angle-only filtering (AOF) problem in 3D using bearing and elevation measurements from a single maneuvering sensor. These filters used Cartesian...

Active Sensor Radiation Control Based on Posterior Cramer-Rao Lower Bound with Passive Measurement
2019 Edition, July 1, 2019 - Technical Committee on Control Theory, Chinese Association of Automation

In this paper, the issue of active radar radiation control for target tracking is studied to improve the concealment of aircraft. Since too much emission will lead to our aircraft be locked in by enemy electronic support measures (ESM), radar emission should be as low as...

Distributed posterior Cramér-Rao lower bound for nonlinear sequential Bayesian estimation
2012 Edition, June 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In distributed sensor networks, the posterior Cramér-Rao lower bound (PCRLB) has recently been used [1] as a selection criteria for sensor management decisions, where new sensor nodes are deployed or existing ones reactivated to optimize the...

Posterior Cramer-Rao lower bound for mobile tracking in mixed LOS/NLOS conditions
2009 Edition, August 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The paper studies the theoretical error lower bound of the mobile tracking problem in mixed Line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. A new method is presented to compute the posterior Cramer-Rao lower bound (CRLB): the...

Online Estimation of the Approximate Posterior Cramer-Rao Lower Bound for Discrete-Time Nonlinear Filtering
2011 Edition, Volume 47, January 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Although it is difficult to assess the achievable performance of nonlinear tracking applications, it nevertheless remains extremely important to do so. This paper illustrates how the mean and covariance of the estimated online state can be used to recursively calculate an approximate...

Decentralized sensor selection based on the distributed posterior Cramér-Rao lower bound
2012 Edition, July 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The paper considers the problem of sensor resource management for distributed, nonlinear tracking applications with the objective of dynamically activating a time-variant subset of observation nodes to optimize the network's performance. The posterior Cramér-Rao...

A Particle Filter Approach to Approximate Posterior Cramer-Rao Lower Bound: The Case of Hidden States
2013 Edition, Volume 49, October 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The posterior Cramer-Rao lower bound (PCRLB) derived in [1] provides a bound on the mean square error (MSE) obtained with any nonlinear state filter. Computing the PCRLB involves solving complex, multi-dimensional expectations, which do not...

Decentralized Conditional Posterior CramérRao Lower Bound for Nonlinear Distributed Estimation
2013 Edition, Volume 20, February 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Motivated by the decentralized adaptive resource management problems, the letter derives recursive expressions for online computation of the conditional decentralized posterior Cramér-Rao lower bound (PCRLB). Compared to the non-conditional PCRLB, the conditional...

Decentralized computation of the conditional posterior Cramér-Rao lower bound: Application to adaptive sensor selection
2013 Edition, May 1, 2013 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Motivated by the problem of adaptive resource management in decentralized sensor networks, the paper derives an algorithm for the distributed computation of the conditional posterior Cramér-Rao lower bound (PCRLB) for nonlinear tracking applications...

Posterior Cramér-Rao lower bound for mobile emitter tracking based on a TDOA-FDOA multi-measurement model
2016 Edition, October 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Tracking a mobile radio emitter in a high clutter environment with low signal to noise ratio is a challenging task due to high miss detection and false alarm rates in the joint time difference of arrival (TDOA) and frequency difference of arrival (FDOA) estimation procedure. To...

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