Robustness of the MUSIC algorithm to Errors in Estimation the Dimensions of the Subspaces: Delay Estimation in DS/SS in the Presence of Interference
نویسنده
چکیده
The performance of the MUSIC estimator is studied by simulations if the estimator is applied for delay estimation of a direct sequence spread spectrum (DS/SS) signal corrupted by multiple access or multipath interference. Special emphasis is on the sensitivity to estimation errors on the dimension of the signal subspace, which case is also analytically investigated. The results show that the MUSIC estimator can mitigate the effects of other DS/SS signals, if the dimension of the signal subspace is not undermodeled. Also, it is quite sensitive to a highly correlated multipath signal.
منابع مشابه
Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm
An important problem in nonlinear science is the unknown parameters estimation in Loranz chaotic system. Clearly, the parameter estimation for chaotic systems is a multidimensional continuous optimization problem, where the optimization goal is to minimize mean squared errors (MSEs) between real and estimated responses for a number of given samples. The Bees algorithm (BA) is a new member of me...
متن کاملImplementation of the direction of arrival estimation algorithms by means of GPU-parallel processing in the Kuda environment (Research Article)
Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...
متن کاملA Recommendation for Net Undercount Estimation in Iran Population and Dwelling Censuses
Census counts are subject to different types of nonsampling errors. One of these main errors is coverage error. Undercount and overcount are two types of coverage error. Undercount usually occurs more than the other, thus net undercount estimation is important. There are various methods for estimating the coverage error in censuses. One of these methods is dual system (DS) that usually uses dat...
متن کاملError Modeling in Distribution Network State Estimation Using RBF-Based Artificial Neural Network
State estimation is essential to access observable network models for online monitoring and analyzing of power systems. Due to the integration of distributed energy resources and new technologies, state estimation in distribution systems would be necessary. However, accurate input data are essential for an accurate estimation along with knowledge on the possible correlation between the real and...
متن کاملWindowing Effects of Short Time Fourier Transform on Wideband Array Signal Processing Using Maximum Likelihood Estimation
During the last two decades, Maximum Likelihood estimation (ML) has been used to determine Direction Of Arrival (DOA) and signals propagated by the sources, using narrowband array signals. The algorithm fails in the case of wideband signals. As an attempt by the present study to overcome the problem, the array outputs are transformed into narrowband frequency bins, using short time Fourier tran...
متن کامل