Coarray Based Optimum Geometries for DOA Estimation with Multiple CRPA GPS Arrays
نویسندگان
چکیده
GPS signals are very susceptible to interference due to weak satellite signal power. Multiple antenna receivers have been considered to be effective tools for interference suppression in GPS. In open loop nulling and localization schemes, we proceed with accurate interference directionof-arrival (DOA) estimates which enable a follow-on effective interference suppression using available spatial degrees of freedom. In this paper, we consider sparse array configurations where the respective coarrays permit DOA estimation of a large number of interferers. The estimates are provided by using sparse reconstruction techniques. Guided by both minimum redundancy array and boundary array configurations, we design optimal placements of multiple GPS arrays on a regular Cartesian grid to achieve desirable performance.
منابع مشابه
A Direct Coarray Interpolation Approach for Direction Finding
Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions for array configuration and the reduction of the mutual coupling effect. However, because of the existence of ho...
متن کاملDirection-of-Arrival Estimation with Coarray ESPRIT for Coprime Array
A coprime array is capable of achieving more degrees-of-freedom for direction-of-arrival (DOA) estimation than a uniform linear array when utilizing the same number of sensors. However, existing algorithms exploiting coprime array usually adopt predefined spatial sampling grids for optimization problem design or include spectrum peak search process for DOA estimation, resulting in the contradic...
متن کاملAn Improved DOA Estimation Approach Using Coarray Interpolation and Matrix Denoising
Co-prime arrays can estimate the directions of arrival (DOAs) of O ( M N ) sources with O ( M + N ) sensors, and are convenient to analyze due to their closed-form expression for the locations of virtual lags. However, the number of degrees of freedom is limited due to the existence of holes in difference coarrays if subspace-based algorithms such as the spatial smoothing multiple signal classi...
متن کاملDOA estimation of mixed coherent and uncorrelated targets exploiting coprime MIMO radar
We propose a new scheme to estimate the directions-of-arrival (DOAs) of mixed coherent and uncorrelated targets exploiting a collocated multiple-input multiple-output (MIMO) radar with transmit/receive coprime arrays. In the proposed scheme, the DOAs of the uncorrelated targets are first estimated using subspace-based methods, whereas those of the coherent targets are resolved using Bayesian co...
متن کاملSuper Nested Arrays: Linear Sparse Arrays With Reduced Mutual Coupling - Part I: Fundamentals
In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). While there are methods to counteract this through appropriate modeling and calibration, they are usually computationally expensive, and sensitive to model mismatch. On the other hand, sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014