نتایج جستجو برای: posterior cramer rao lower bound
تعداد نتایج: 947804 فیلتر نتایج به سال:
This paper presents the performance of carrier Frequency offset estimation algorithm for golden encoded MIMO OFDM system. Basically Algebraic Space Time Code (ASTC) has three major encoding methods they are Golden, TAST and DAST encoding. But Golden encoder provides an efficient performance while compared with the TAST and DAST. Carrier frequency offset estimated for Golden code multiple input ...
Non-circular properties of non-circular signals can be used to improve the performance of the direction-of-arrival (DOA) estimation. However, most ready-made algorithms are not applicable to the general case in which both non-circular and circular signals exist. In this paper, we present a novel DOA estimation algorithm for mixed signals, namely MS-MUSIC (Mixed Signals-Multiple Signals Classifi...
PSK is a common modulation format in digital communications. The estimation of modulation parameters is necessary for emitter interception in support of numerous military applications. This paper develops the Cramer-Rao Lower Bound for the modulation parameters of a PSK signal. The modulation parameters considered are the carrier frequency, the symbol time and the signal amplitude. The results ...
In the papers (Kaminskas, 1973; Kaminskas and Nemura, 1975) the stopping rule of recursive least squares (RLS) is worked out using the length of the confidence interval for the respective current meaning of the true output signal of a linear dynamic system. The aim of the given paper is the development of techniques for calculating threshold intervals of respective criteria, used in such a stop...
This paper presents a low-complexity real-time single-tone phase and frequency estimation technique based on zero-crossing detection and linear regression. The proposed zerocrossing phase and frequency estimator fills a gap between lowcomplexity phase locked loop estimation and high-performance maximum likelihood estimation. Similar to a phase locked loop, the zero-crossing phase and frequency ...
We study the problem of fitting parametrized curves to noisy data. Under certain assumptions (known as Cartesian and radial functional models), we derive asymptotic expressions for the bias and the covariance matrix of the parameter estimates. We also extend Kanatani’s version of the Cramer-Rao lower bound, which he proved for unbiased estimates only, to more general estimates that include many...
Precision ranging radios are a critical aid to integrated locating, tracking, navigation, and guidance systems, especially when GPS service is degraded or unavailable [5]. In this work, a high-precision, software-defined, round-trip time-of-flight, direct sequence spread spectrum (DSSS) ranging radio operating in the 2.4 GHz ISM band is presented. This system builds upon our previous brassboard...
In this paper, we present a computationally simple algorithm suitable for fast, high resolution estimation of time delays and doppler shifts (which are necessary for target localization and tracking) between narrowband signals in an active sonar system. The algorithm uses a modulated Lagrange interpolation filter and an LMStype algorithm. The problem of delay and doppler estimation is reduced t...
Using several spatially separated receivers, nowadays positioning techniques, which are implemented to determine the location of the transmitter, are often required for several important disciplines such as military, security, medical, and commercial applications. In this study, localization is carried out by particle swarm optimization using time difference of arrival. In order to increase the...
The determination of Cramer-Rao lower bound (CRLB) as an optimality criterion for the problem of channel estimation in wireless communication is a very important issue. Several CRLBs on channel estimation have been derived for Gaussian noise. However, a practical channel is affected by not only Gaussian background noise but also non-Gaussian noise such as impulsive interference. This paper deri...
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