Alignment of signal copies from an asynchronous sensor network
US-9426007-B1 · Aug 23, 2016 · US
US9819083B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-9819083-B1 |
| Application number | US-201414468509-A |
| Country | US |
| Kind code | B1 |
| Filing date | Aug 26, 2014 |
| Priority date | Aug 26, 2014 |
| Publication date | Nov 14, 2017 |
| Grant date | Nov 14, 2017 |
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A method and apparatus in one example uses adaptive digital beamforming with a plurality of heterogeneous antennas which are more affordable and flexible and do not require the use of a nuller antenna. The method uses adaptive, multi-beam digital beamforming without knowledge of a signal direction or aperture of the antena. The method works with arbitrary antenna elements in arbitrary locations and does not require any a priori antenna model. The method also optimizes signal-to-noise ratio (SNR) of the received signal.
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What is claimed is: 1. A method for adaptive digital beamforming, in a computer processor, the input signals received by a plurality of heterogeneous antennas, comprising the steps of: receiving an input signal from each beam of the plurality of antennas; estimating an initial weight for each beam only from information contained within the input signals without using a model of the plurality of heterogeneous antennas or knowing the location of a desired signal; processing the input signals to iteratively estimating a new weight for each beam until an optimum weight is achieved; and processing the input signals by applying the optimum weight for each beam to the input signals to digitally beamform the desired signal. 2. The method of claim 1 where in the step of estimating an initial weight further comprises the steps of: estimating an initial steering vector from the input signals from the one or more antennas; estimating an initial covariance matrix from the input signals using dynamic noise loading; and generating a set of weights for the input signals from the one or more antennas from the initial steering vector and the initial covariance matrix. 3. The method of claim 1 wherein the step of estimating an initial weight per beam further comprises the step of calculating a dynamic noise loading according to the equation nl = c nl R xx _ diag _ sort ( 1 ) + R xx _ diag _ sort ( 2 ) R xx _ diag _ sort ( N beam - 1 ) + R xx _ diag _ sort ( N beam ) , where R XX is a covariance matrix of received symbols from antenna beams, R xx _ diag _ sort =sort(diag(R XX ), descend), c nl is a constant, and N beam =the number of heterogeneous antennas. 4. The method of claim 2 wherein R xx _ diag _ sort contains the diagonal elements of R XX in descending order, and N beam ≧3. 5. The method of claim 1 , wherein the plurality of heterogeneous antennas further comprises an arbitrary beamforming network of arbitrary antenna elements. 6. The method of claim 5 , wherein the arbitrary antenna elements are in arbitrary locations in a satellite. 7. The method of claim 5 , wherein the arbitrary antenna elements are in arbitrary locations in an airborne network. 8. The method of claim 5 , wherein the arbitrary antenna elements are in arbitrary locations in an ground network. 9. The method of claim 5 , wherein the arbitrary antenna elements are in arbitrary locations in any space, airborne, and ground network, and any combinations of networks. 10. The method of claim 1 , wherein a set of waveforms from the plurality of antennas is either coherent or partially coherent. 11. A method for digital beamforming the beams from a plurality of heterogeneous antennas, said method executed in a computer processor, comprising the steps of: receiving an input signal from each beam of the plurality of antennas; processing each input signal statistically to generate symbols representing each input signal; estimating an initial steering vector for each beam from the input signal and the generated symbols; estimating an initial covariance matrix using direct calculation with dynamic noise loading; generating a set of weights for the beams from the plurality of antennas from the initial steering vector and the initial covariance matrix; iteratively estimating a new weight for each beam until an optimum weight is achieved; and normalizing the optimum weight and applying it to the received symbols during digital beamforming. 12. The method of claim 11 , further comprising the step of phase rotation to resolve sign ambiguity of the beamformed symbols. 13. The method of claim 11 , wherein the plurality of heterogeneous antennas further comprises an arbitrary beamforming network of arbitrary antenna elements. 14. The method of claim 13 , wherein the arbitrary antenna elements are in arbitra
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