Claims Analysis
Total Claims: 10
Claim 1
Independent Claim
405 words
A source identification system which identifies and displays remote sources comprising: a) a plurality of M receive branches each having i. a phased array sensor for receiving a signal from said sources at a time index l, ii. a demodulator responsive to the phased array sensor for demodulating the received signal from the sensor, iii. an analog-to-digital (A/D) converter responsive to the demodulator for converting the demodulated signal to a digital value x l (n) at specific time periods indicated by a time index l, and n is an index for the phased array sensor which received the signal; b) a snapshot storage unit responsive to the receive branches for collecting a plurality of N snapshots with the digital values organized in a matrix format X N , each snapshot being all the digital values x l (n) from the receive branches at a time represented by time index l; c) covariance generation unit responsive to the snapshot storage unit for calculating a set of sample covariance values R N from digital values x l (n) for the plurality of snapshots organized in the matrix format X N ; d) eigenanalysis processor responsive to the covariance generation unit for creating a set of eigenvalues and eigenvectors λ k e k from the sample covariance values R N ; f) a source number estimator responsive to the eigenanalysis processor for determining a number of sources d from the set of eigenvalues and eigenvectors λ k e k ; g) direction of arrival (DOA) processor responsive to the eigenanalysis processor and the source number estimator for determining a set of manifold vectors a(θ i ) indicating the direction of arrival θ i of said remote sources from number of sources d and the set of eigenvalues and eigenvectors λ k e k ; h) power estimation processor responsive to the eigenanalysis processor and the DOA processor for creating a set of signal to noise estimates for each of said remote sources; i) target detection logic unit responsive to the power estimation processor and the DOA processor for identifying sources of interest to monitor based upon analyzing the source array manifold vectors a(θ i ), and signal to noise ratio (SNR) estimate ##EQU11## j) a signal synthesis and decoding unit for decoding the identified signals and synthesizes a display signal; and k) an output device for creating an image representing the identified sources from the synthesized display signal.
Claim 2
Dependent Claim
405 words
A source identification system which identifies and displays remote sources comprising: a) a plurality of M receive branches each having i. a phased array sensor for receiving a signal from said sources at a time index l, ii. a demodulator responsive to the phased array sensor for demodulating the received signal from the sensor, iii. an analog-to-digital (A/D) converter responsive to the demodulator for converting the demodulated signal to a digital value x l (n) at specific time periods indicated by a time index l, and n is an index for the phased array sensor which received the signal; b) a snapshot storage unit responsive to the receive branches for collecting a plurality of N snapshots with the digital values organized in a matrix format X N , each snapshot being all the digital values x l (n) from the receive branches at a time represented by time index l; c) covariance generation unit responsive to the snapshot storage unit for calculating a set of sample covariance values R N from digital values x l (n) for the plurality of snapshots organized in the matrix format X N ; d) eigenanalysis processor responsive to the covariance generation unit for creating a set of eigenvalues and eigenvectors λ k e k from the sample covariance values R N ; f) a source number estimator responsive to the eigenanalysis processor for determining a number of sources d from the set of eigenvalues and eigenvectors λ k e k ; g) direction of arrival (DOA) processor responsive to the eigenanalysis processor and the source number estimator for determining a set of manifold vectors a(θ i ) indicating the direction of arrival θ i of said remote sources from number of sources d and the set of eigenvalues and eigenvectors λ k e k ; h) power estimation processor responsive to the eigenanalysis processor and the DOA processor for creating a set of signal to noise estimates for each of said remote sources; i) target detection logic unit responsive to the power estimation processor and the DOA processor for identifying sources of interest to monitor based upon analyzing the source array manifold vectors a(θ i ), and signal to noise ratio (SNR) estimate ##EQU11## j) a signal synthesis and decoding unit for decoding the identified signals and synthesizes a display signal; and k) an output device for creating an image representing the identified sources from the synthesized display signal.
Claim 3
Dependent Claim
62 words
The source identification system of claim 1 wherein the covariance generation unit comprises a means for calculating matrix elements of R N according to the equation: ##EQU12## where x i *(n) represents the complex conjugate of the digitized values x l (n), m is the mth row and n is the nth column of a matrix of covariance values R N .
Claim 4
Dependent Claim
73 words
The source identification system of claim 1 wherein the eigenanalysis processor comprises a means for creating noise and source eigenvalues and eigenvectors from the sample covariance matrix R N according to the equation: R.sub.N e.sub.k =λ.sub.k e.sub.k where λ 1 ≧ . . . λ M are eigenvalues and e 1 , . . . , e M are the corresponding eigenvectors of R N and are an orthonormal set of basis vectors.
Claim 5
Dependent Claim
48 words
The source identification system of claim 1 wherein direction of arrival (DOA) processor comprises means for determining a set of array manifold vectors a(θ i ) by searching all possible array manifold vectors for array manifold vectors a(θ i ) which are most orthogonal to the noise eigenvectors.
Claim 6
Dependent Claim
43 words
The source identification system of claim 1 wherein direction of arrival (DOA) processor comprises means for determining a set of array manifold vectors a(θ i ) from the noise and source eigenvalues and eigenvectors by executing the steps of a conventional superresolution algorithm.
Claim 7
Dependent Claim
125 words
The source identification system of claim 1 wherein the power estimation processor comprises means for creating a set of signal to noise estimates ##EQU13## for each of said remote sources by executing the steps of projecting each of said source array manifold vectors a(θ i ) onto a respective one of a noise eigenvectors e k for k=M-d+1 to M, summing projected vectors and determining an approximate signal to noise estimate according to the equation: ##EQU14## where ##EQU15## d is the number of moving targets calculated from the source number estimator, a H (θ i ) is the Hermitian conjugate of the source dwell manifold vectors, N is the number of uncorrelated snapshots and σ 2 is the mean noise power per phased array sensor.
Claim 8
Dependent Claim
37 words
The source identification system of claim 1 wherein the signal synthesis and decoding unit comprises means for creating a video signal from the identified signals, and the output device comprises a monitor which displays the video signal.
Claim 9
Dependent Claim
30 words
The source identification system of claim 1 wherein the signal synthesis and decoding unit is a speech synthesizer and the output device is a speaker which plays the audio signal.
Claim 10
Dependent Claim
41 words
The source identification system of claim 1 wherein the signal synthesis and decoding unit comprises means for decoding a digital signal from the identified signals, and the output device comprises a digital processor and storage unit for data collection and processing.