Indoor positioning method based on RSS (Received Signal Strength)
An indoor positioning and received signal strength technology, applied in positioning, measuring devices, instruments, etc., can solve the performance impact of positioning, shadow fading and other problems, and achieve the effect of convenient data acquisition and accurate positioning
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[0046] The invention mainly includes the sparse representation and reconstruction algorithm of the signal.
[0047] The mathematical model of sparse representation is introduced below. A real-valued finite-length one-dimensional discrete-time signal x can be regarded as an R N The N×1-dimensional column vector of the space, the elements are x[n], n=1,2,...,N. If it is an image or a high-dimensional data vector, it is converted into a long one-dimensional vector. R N Any signal in space can use N×1-dimensional orthonormal basis vectors A linear combination representation of . put the vector Form N×N orthonormal basis dictionary matrix as column vectors Any signal x can be expressed as
[0048] x = Σ i = 1 N θ i ...
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