METHOD AND SYSTEM FOR JOINT TIME-OF-ARRIVAL AND AMPLITUDE ESTIMATION BASED ON A SUPER-RESOLUTION TECHNIQUE
First Claim
1. A method for jointly estimating parameters of a signal received in a multipath environment, comprising:
- Iterating until convergence;
(a) an expectation step that estimates signal components of the received signal in one or more paths of the multipath environment; and
(b) a maximization step that provides, for each signal component estimated by the expectation step, maximum likelihood estimates of a parameter vector that includes two or more parameters.
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Abstract
In a geolocation application, a method is provided to jointly estimate the time-of-arrival (TOA) and the amplitude of a received signal based on super-resolution technique. The super-resolution joint TOA-amplitude estimators are provided based on either the expectation-maximization (EM), parallel-interference-cancellation space-alternating generalized expectation maximization (PIC-SAGE) or serial-interference-cancellation SAGE (SIC-SAGE). The SIC-SAGE estimator minimizes the ranging estimation error especially under a non-line-of-sight (NLOS) condition. The SIC-SAGE estimator is a simplified version of the maximum likelihood estimator with more stable performance in a multipath rich environment, such as the ultra-wideband (UWB) based applications. These techniques provide the following benefits: 1) it is generic, so that signal processing can be deployed on both time-domain (e.g., UWB impulse-radio) and frequency-domain (e.g., multi-band orthogonal frequency-division multiplexing (MB-OFDM)) based transceiver schemes and applicable for both UWB and non-UWB systems; 2) it is robust especially under NLOS condition and multipath rich environment.
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Citations
30 Claims
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1. A method for jointly estimating parameters of a signal received in a multipath environment, comprising:
Iterating until convergence; (a) an expectation step that estimates signal components of the received signal in one or more paths of the multipath environment; and (b) a maximization step that provides, for each signal component estimated by the expectation step, maximum likelihood estimates of a parameter vector that includes two or more parameters. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. An estimator for jointly estimating parameters of a signal received in a multipath environment, comprising:
a control element that iterates until convergence the operations of; (a) an expectation element that estimates signal components of the received signal in one or more paths of the multipath environment; and (b) a maximization element that provides, for each signal component estimated by the expectation element, maximum likelihood estimates of a parameter vector that includes two or more parameters. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30)
Specification