The present disclosure relates to electronics, and more specifically, to analog signal processing used to determine an angle of arrival (AoA) of an incident wave on an array.
Determining an AoA of an incident wave or signal on an array is of interest in a variety of applications, such as radar and aerospace applications. For example, signals that are detected can be wideband in nature with a low signal-to-noise ratio (SNR) and subject to narrowband interference.
Current implementations for detecting signals accurately are digital in nature, cannot be ultra wideband due to limitations in analog-to-digital converter (ADC) technology, and are size, weight, power, and cost (SWAP-C) intensive. Other approaches in analog use multiple antennas to detect or get the AoA, resulting in a wide angle. Still other techniques use a phase slope of a cross spectral density (CSD). But, use of CSD has only been accomplished with digital circuitry, resulting in a SWAP-C penalty and limiting wideband operation.
According to one embodiment, a method comprises: receiving an incoming signal, converting, by an analog circuit, the signal to a discrete time signal, applying, by the analog circuit, a transformation algorithm to the discrete time signal to obtain frequency samples of the discrete time signal, applying, by the analog circuit, a cross correlation algorithm to the frequency samples to obtain a cross spectral density (CSD), detecting, by the analog circuit, phase slopes associated with the CSD, and calculating an angle of arrival (AoA) of the incoming signal based on the phase slopes.
According to another embodiment, an apparatus comprises: a first analog circuit configured to generate frequency samples associated with a continuous incoming signal, a second analog circuit configured to obtain a cross spectral density (CSD) based on the frequency samples, a third analog circuit configured to detect phase slopes associated with the CSD, and a fourth circuit configured to calculate an angle of arrival (AoA) of the incoming signal based on the phase slopes.
Additional features and advantages are realized through the techniques of the present invention. Other embodiments and aspects of the invention are described in detail herein and are considered a part of the claimed invention. For a better understanding of the invention with the advantages and the features, refer to the description and to the drawings.
For a more complete understanding of this disclosure, reference is now made to the following brief description, taken in connection with the accompanying drawings and detailed description, wherein like reference numerals represent like parts:
It is noted that various connections are set forth between elements in the following description and in the drawings (the contents of which are included in this disclosure by way of reference). It is noted that these connections in general and, unless specified otherwise, may be direct or indirect and that this specification is not intended to be limiting in this respect. In this respect, a coupling between entities may refer to either a direct or an indirect connection.
Exemplary embodiments of apparatuses, systems, and methods are described for determining or detecting an angle of arrival (AoA) associated with an incident wave or signal. Analog circuitry performs the detection of the AoA, resulting in a low size, weight, power, and cost (SWAP-C) implementation across a wide bandwidth (e.g., up to 20 GHz). In some embodiments, an analog correlator is constructed using wire delays and analog multipliers to apply a complex weight and sum. Sample-and-hold (S/H) circuits, potentially in combination with one or more amplifiers, are used to facilitate a discrete time analog fast Fourier transform (FFT). A direction filter is implemented in analog to calculate a direction-filtered cross spectral density (CSD). A phase slope of the CSD is used to calculate AoA. Some or all of the implementation is conducted in analog and/or at radio frequency (RF). In some embodiments, the AoA is detected or calculated to within 1 degree of accuracy.
Referring to
The incoming signal is incident upon one or more sub-arrays, such as sub-array 1 and sub-array 2 in
Sub-array 1 and sub-array 2 are coupled to receivers 106-1 and 106-2, respectively. The receivers 106-1 and 106-2 receive the incoming signal. The receivers 106-1 and 106-2 may include components or devices of a type known to one of skill in the art, such as low noise amplifiers (LNAs), frequency down-converters, and the like.
The receivers 106-1 and 106-2 are coupled to S/H circuits 112-1 and 112-2, respectively. As shown in
Referring back to
As shown in
Referring back to
Referring to
An embodiment of a multiplier circuit 432 is shown in box 444 of
Referring back to
Referring now to
In block 502, the incoming signal is received. For example, one or more sub-arrays or elements, such as one or more antennas or antenna elements, receives the incoming signal.
In block 504, the received signal is converted to a discrete time signal or discrete time signal samples. As part of block 504, the received signal is subject to serial-to-parallel conversion.
In block 506, a FFT algorithm is applied to the discrete time signal or discrete time signal samples. In this manner, a transition is made from a discrete time analog domain to a discrete time complex domain. The FFT algorithm is applied to obtain frequency components or samples.
In block 508, the output of the FFT algorithm of block 506 is applied to a cross correlation algorithm. The cross correlation algorithm is applied to obtain the CSD.
In block 510, one or more phase slopes of the CSD is detected.
In block 512, a difference in the phase slopes of block 510 is calculated to generate the AoA.
Embodiments of the disclosure include analog circuits configured to calculate a CSD and phase slope of the CSD. The analog circuits may operate in conjunction with one or more frequency bands, such as the X-band and the Ku band. The analog circuits may be ultra wideband and may operate from direct current (DC) to 12 GHz and beyond. The analog circuits use several orders of magnitude less power than corresponding digital circuits.
In some embodiments various functions or acts may take place at a given location and/or in connection with the operation of one or more apparatuses, systems, or devices. For example, in some embodiments, a portion of a given function or act is performed at a first device or location, and the remainder of the function or act is performed at one or more additional devices or locations.
The corresponding structures, materials, acts, and equivalents of all means or step plus function elements in the claims below are intended to include any structure, material, or act for performing the function in combination with other claimed elements as specifically claimed. The description of the present invention has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the invention. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
While the preferred embodiments to the invention have been described, it will be understood that those skilled in the art, both now and in the future, may make various improvements and enhancements which fall within the scope of the claims which follow. These claims should be construed to maintain the proper protection for the invention first described.
Number | Name | Date | Kind |
---|---|---|---|
2989744 | Pettit | Jun 1961 | A |
3170158 | Rotman | Feb 1965 | A |
3720952 | Lawsine | Mar 1973 | A |
3992099 | Laughlin | Nov 1976 | A |
4328496 | White | May 1982 | A |
4613863 | Mitchell | Sep 1986 | A |
5032839 | Even-Or | Jul 1991 | A |
5717620 | Williams | Feb 1998 | A |
6091704 | Butash | Jul 2000 | A |
6104346 | Rudish | Aug 2000 | A |
6222409 | Kieda | Apr 2001 | B1 |
6285197 | Walker et al. | Sep 2001 | B2 |
6898235 | Carlin et al. | May 2005 | B1 |
7801228 | Lehne et al. | Sep 2010 | B2 |
8578256 | Graef | Nov 2013 | B2 |
20010011893 | Walker et al. | Aug 2001 | A1 |
20010022811 | Lillington | Sep 2001 | A1 |
20030112904 | Fuller et al. | Jun 2003 | A1 |
20030133524 | Miller et al. | Jul 2003 | A1 |
20040189384 | Kemna et al. | Sep 2004 | A1 |
20070223607 | Lehne et al. | Sep 2007 | A1 |
20070223754 | Roeck | Sep 2007 | A1 |
20090163161 | Robinson et al. | Jun 2009 | A1 |
20100315292 | Cui | Dec 2010 | A1 |
20110103430 | Witrisal | May 2011 | A1 |
20110260911 | Sapp | Oct 2011 | A1 |
20110274222 | Hinson | Nov 2011 | A1 |
20140105416 | Huttunen et al. | Apr 2014 | A1 |
20140210666 | Maltsev et al. | Jul 2014 | A1 |
20140241463 | Leenaerts et al. | Aug 2014 | A1 |
Number | Date | Country |
---|---|---|
1229926 | Dec 1987 | CA |
101241535 | Aug 2008 | CN |
0344794 | Dec 1989 | EP |
1596220 | Nov 2005 | EP |
2425635 | Aug 2013 | EP |
2728770 | May 2014 | EP |
2779473 | Sep 2014 | EP |
2689249 | Oct 1993 | FR |
2308034 | Jun 1997 | GB |
20080020078 | Mar 2008 | KR |
9306502 | Apr 1993 | WO |
9939517 | Oct 1999 | WO |
0011823 | Mar 2000 | WO |
0041340 | Jul 2000 | WO |
2005050241 | Jun 2005 | WO |
2012024507 | Feb 2012 | WO |
Entry |
---|
A. W. Houghton and C. D. Reeve, “Direction finding on spread-spectrum signals using the time-domain filtered cross spectral density,” in IEE Proceedings—Radar, Sonar and Navigation, vol. 144, No. 6, pp. 315-320, Dec. 1997. |
International Search Report and Written Opinion; International Application No. PCT/US2015/033207; International Filing Date: May 29, 2015; Date of Mailing: Sep. 17, 2015; 11 pages. |
Akpa et al., “N-parallel filter bank equivalent to tree structure”, Electrical and Computer Engineering Conference Proceedings, 1994, pp. 494-496. |
International Search Report and Written Opinion; PCT Application No. PCT/US2015/025537; International Filing Date: Apr. 13, 2015; Mailing Date: Jul. 28, 2015; 12 pages. |
Lillington, “Flexible channelisation architectures for Software Defined Radio front ends using a Tuneable Pipelined Frequency Transform”, IET Seminar Digest, vol. 2003, No. 1, 2003, pp. 1-13. |
Ahnstrom et al., “Detection and direction-finding of spread spectrum signals using correlation and narrowband interference rejection”, Proc. Nordic Matlab Conference, Copenhagen, Denmark, 2003, 5 pages. |
Holler et al. “A 2-20-GHz Analog Lag Correlator for Radio Interferometry”, IEEE Transactions on Instrumentation and Measurement, vol. 61, No. 8, Aug. 2012, pp. 2253-2261. |
Houghton et al., “Direction finding on spread-spectrum signals using the time-domain filtered cross spectral density”, IEEE Proceedings of Radar, Sonar and Navigation, vol. 144, No. 6, Dec. 1997, pp. 315-320. |
Lambrecht et al., “True-Time-Delay Beamforming With a Rotman-Lens for Ultrawideband Antenna Systems”, IEEE Transactions on Antennas and Propagation, vol. 58, No. 10, Oct. 2010, pp. 3189-3195. |
Zhang et al., “Reconfigurable beam forming using phase-aligned Rotman lens”, www.ietdl.org, The Institute of Engineering and Technology, 2012, pp. 326-330. |
PCT International Search Report and Written Opinion; International Application No. PCT/US2015/039877; International Filing Date: Jul. 10, 2015; Date of Mailing: Oct. 6, 2015; 12 pages. |
Balakrishnan et al., “Implementation of radix-2 and split-radix fast fourier transform algorithm using current mirrors”, 2013 International Conference on Circuits, Power and Computing Technologies (ICCPCT), IEEE, Mar. 20, 2013, pp. 730-735. |
International Search Report and Written Opinion; International Application No. PCT/US2015/016298; International Filing Date: Feb. 18, 2015; Date of Mailing: May 11, 2015; 14 pages. |
Suh et al., “Low-Power Discrete Fourier Transform for OFDM: A Programmable Analog Approach”, IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE, vol. 58, No. 2, Feb. 1, 2011, pp. 290-298. |
Chang et al., “Reconfigurable Architectures for Low Complexity Software Radio Channelizers using Hybrid Filter Banks,” 10th IEEE Singapore International Conference on Communication systems, Oct. 2006, pp. 1-5. |
Darak et al., “A reconfigurable filter bank for uniform and non-uniform channelization in multi-standard wireless communication receivers,” IEEE 17th International Conference on Telecommunications (ICT), Apr. 4-7, 2010, pp. 951-956. |
Lehne et al., “A 0.13-um 1-GS/s CMOS Discrete-Time FFT Processor for Ultra-Wideband OFDM Wireless Receivers”, IEEE Transactions on Microwave Theory and Techniques, vol. 59, No. 6, Jun. 2011, pp. 1639-1650. |
Lillington, “The pipelined frequency transform (PFT)”, RF Engines, Electronic Engineering, Jun. 17, 2002, pp. 1-5. |
Mahesh et al., “Coefficient decimation approach for realizing reconfigurable finite impulse response filters,” IEEE International Symposium on Circuits and Systems, ISCAS, May 18-21, 2008, pp. 81-84. |
Mahesh et al., “Reconfigurable low area complexity filter bank architecture based on frequency response masking for nonuniform channelization in software radio receivers”, IEEE Transactions on Aerospace and Electronic Systems, vol. 47, No. 2, Apr. 2011. |
Navarro et al. “Non-uniform channelization methods for next generation SDR PMR base stations”, 2011 IEEE Symposium on Computers and Communications, Jul. 2011, pp. 620-625. |
Sju, “Pipelined Frequency Transform PFT”, RF Engines Limited Data Sheet, Apr. 29, 2002, pp. 1-25. |
Smitha et al., “A new low power reconfigurable decimation interpolation and masking based filter architecture for channel adaptation in cognitive radio handsets,” Physical Communication, 2, Jan. 2009, pp. 47-57. |
Number | Date | Country | |
---|---|---|---|
20150234030 A1 | Aug 2015 | US |