The present disclosure relates generally to communications systems using electromagnetic beams, and more particularly to a system and method for estimating the direction of arrival (DOA) of an electromagnetic beam.
Direction of arrival (DOA) estimation has been an active area of research. DOA estimation has been used in a wide range of applications, including radar, sonar, electronic surveillance, and seismic exploration. DOA estimation is also becoming important in the communications field, such as in mobile device communications.
DOA estimation has typically been realized through mechanical or electrical solutions. Mechanical solutions usually involve a single receive antenna that rotates around horizontal or vertical axes to scan the vertical or azimuth planes. Electrical solutions may make use of large numbers of receive antennas, as well as analog or digital beamforming to find the spatial direction of the incoming electromagnetic beams. Therefore, there is a need for a simple system and method for estimating the DOA in two dimensions of an electromagnetic beam that do not require complex mechanical and/or electrical structures or large numbers of receive antennas.
Example embodiments provide a system and method for estimating the direction of arrival (DOA) of an electromagnetic beam.
In accordance with an example embodiment, a device is provided for estimating a two-dimensional direction of arrival (DOA) of an electromagnetic beam. The device includes an antenna system, and a signal processor operatively coupled to the antenna elements of the antenna system. The antenna system includes a plurality of antenna elements arranged in a rectangular planar array and configured to receive signal components of the electromagnetic beam. The signal processor estimates the two-dimensional DOA of the electromagnetic beam based on relative phases of the signal components of the electromagnetic beam.
In accordance with another example embodiment, a method is provided for estimating a two-dimensional direction of arrival (DOA). The method includes receiving, by a device, signal components of an electromagnetic beam at an antenna system comprising a plurality of antenna elements arranged in a rectangular planar array, and estimating, by the device, the two-dimensional DOA of the electromagnetic beam based on relative phases of the signal components of the electromagnetic beam.
In accordance with another example embodiment, a device is provided for estimating a two-dimensional direction of arrival (DOA) of an electromagnetic beam. The device includes an antenna system, a processing unit operatively coupled to the antenna system, and a computer readable storage medium storing programming for execution by the processing unit. The antenna system includes a plurality of antenna elements arranged in a rectangular planar array. The antenna system receives signal components of the electromagnetic beam. The programming including instructions to configure the device to estimate the two-dimensional DOA of the electromagnetic beam based on relative phases of the signal components of the electromagnetic beam.
For a more complete understanding of the present disclosure, and the advantages thereof, reference is now made to the following description taken in conjunction with the accompanying drawings, in which:
The operating of the current example embodiments and the structure thereof are discussed in detail below. It should be appreciated, however, that the present disclosure provides many applicable inventive concepts that can be embodied in a wide variety of specific contexts. The specific embodiments discussed are merely illustrative of specific structures of the disclosure and ways to operate the embodiments presented herein, and do not limit the scope of the disclosure.
One embodiment relates to estimating a direction of arrival (DOA) of an electromagnetic beam. A DOA in three-dimensions may be expressed in two angular component parts, referred to as angles of arrival (AOA). As an illustrative example, a device for estimating a direction of arrival (DOA) of an electromagnetic beam includes an antenna system with a plurality of antenna elements arranged in a rectangular planar array and a signal processor operatively coupled to the antenna elements of the antenna system. The antenna system receives signal components of the electromagnetic beam. The signal processor estimates the DOA of the electromagnetic beam based on relative phases of the signal components of the electromagnetic beam.
The embodiments will be described with respect to example embodiments in a specific context, namely communications systems that use estimates of DOA of an electromagnetic beam for antenna beam alignment, object positioning, data communications using smart antenna systems, and the like. The embodiments may be applied to standards compliant communications systems, such as those that are compliant with Third Generation Partnership Project (3GPP), IEEE 802.11, and the like, technical standards, and non-standards compliant communications systems, that use estimates of DOA of an electromagnetic beam.
{right arrow over (ε)}(x,y,z,t)=Re{{right arrow over (E)}(x,y,z)ejωx}=Re{Eoe−j{right arrow over (β)}·{right arrow over (r)}ejωt}=Eo cos(ωt−{right arrow over (β)}·{right arrow over (r)}). (1)
The plane wave (as expressed in Equation (1)) arrives at receive antennas of a receiving point, where {right arrow over (r)}=a{right arrow over (x)}+b{right arrow over (y)}+c{right arrow over (z)} is a position vector of any node in the Cartesian coordinate system, i.e., (a,b,c), and {right arrow over (β)}=βx{right arrow over (x)}+βy{right arrow over (y)}+βz{right arrow over (z)} is a wave propagation vector of the plane wave in the same coordinate system. As shown in
βx=βo cos θE sin θH,
βy=βo cos θE cos θH,
βz=βo sin θE (2)
where βo is the magnitude of {right arrow over (β)} and is expressed as β0=2πf/c where f and c are the wave frequency and velocity of light in free space, respectively.
Operations 300 begin with the detection system receiving signal components of an electromagnetic beam with an antenna system (block 305). The antenna system includes a plurality of receive elements. The plurality of receive elements receives the signal components of the electromagnetic beam in such a way that information usable in estimating the DOA of the electromagnetic beam is present in the signal components of the received electromagnetic beam. The detection system mixes the signal components and produces output signals (block 310). An interferometer of the detection system mixes the superposed signal components of the received electromagnetic beam in order to obtain the relative phases related to the DOA of the electromagnetic beam. The detection system estimates the DOA based on the relative phases (block 315). The estimation of the DOA of the electromagnetic beam may be performed by an estimating unit of the detection system. The estimating unit may be implemented in a signal processor, for example.
According to an example embodiment, signal components of an electromagnetic beam are received at a plurality of receive elements of an antenna system. The plurality of receive elements of the antenna system are arranged in a rectangular planar array.
According to an example embodiment, the signal components of the received electromagnetic beam are mixed in order to obtain output signals having relative phases.
According to an example embodiment, the output signals with the relative phases are processed in order to estimate the DOA of the electromagnetic beam.
The configuration of the receive elements of antenna 400 may be described as a square or a diamond shape. The distance L may be determined based on design criteria, such as the operational range of DOA detection that the detection system is expected to be able to unambiguously detect, size limitations on the detection system, manufacturing limitations, and so on. As an illustrative example, a detection system with a relatively small operational range of DOA detection (such as from −20 degrees to +20 degrees) may have a larger value of L as a fraction of electromagnetic beam wavelength than a detection system with a relatively large operational range of DOA detection (such as from −90 degrees to +90 degrees), however, size limitations on the overall detection system may require that L be smaller. The respective receive elements of antenna system 400 are labeled receive element 1 (RE1) 405, RE2 407, RE3 409, and RE4 411.
Referring back now to Equation (2), the relative phases of {right arrow over (β)}.{right arrow over (r)} at the receive elements in the coordinate system relative to the center of receive element 1 (i.e., RE1 405 is used as the reference) are expressible as:
when the origin of coordinate system is the center of receive element 1. Therefore, since φE=βoL sin θE is the relative phase difference between the signals at receive elements 1 and 2, and φH=βoL cos θE sin θH is the relative phase difference between the signals at receive elements 3 and 4, Equation (3) may be re-written as:
where n is an integer number, and ∠ij−∠il denotes the phase difference of input signals from input ports j and l at the output port i. The phase relationship of passive junction 504 is also expressible as:
Using the received signal at port P1 of antenna 500 as a reference, the input signals to interferometer 500 may be expressed as:
where A is a gain constant.
Outputs of 90-degree hybrid couplers 507 and 509 may be labeled P3, P4, P5, and P6. The signals at the outputs P3, P4, P5, and P6 are denoted O3, O4, O5, and O6, respectively, and are a combination of the input signals (Equation (5)) with specific phase shifts and are expressible as:
After passing through diode detectors and low pass filtering, the outputs of interferometer 500 are expressed as:
(Equation (7)), where K is the voltage gain of the diode detectors, which is assumed to be identical for all diode detectors. The outputs of interferometer 500 may be further simplified to:
where BB34 is the difference of B3 and B4, and BB56 is the difference of B5 and B6.
In order to estimate the DOA, a signal processing algorithm implemented in a signal processing unit may evaluate BB34 and BB56 of Equation (8). BB34 and BB56 may be re-written as shown below to highlight the relative phases of the signals:
For discussion purposes, let x and y be defined as x=(φE+φH) and y=(φE−φH), then Equation (9) may be rearranged into:
The component AOAs of the DOA may then be estimated using expressions:
There may be several sources of non-ideal behavior throughout the detection system that may cause erroneous estimations of the DOA. Additionally, differences in phase and gain of the antenna elements and low-noise amplifier (LNA) blocks, coupling ratios of the interferometer, the gain of the diode detectors, and the like, may be sources of error. Equation (7), which shows the relationship between the interferometer outputs B3, B4, B5, and B6 and the incoming signals, have been developed under an assumption of ideal phase and equal gain conditions, which may not be realistic in practice. Considering all of the sources of non-ideal behavior, it is possible to express each pair of detected signals B3 and B4 and B5 and B6 as:
where q is the difference in detector's conversion loss with respect to an ideal conversion loss k, g is the difference in multi-port's coupling ratio with respect to an ideal coupling (i.e., 0.5), a is the difference in the gain of the antenna elements and the gain of the LNAs, ζi,j is the difference with the ideal desired phase difference in multiport network from port i to port j. Constant terms of (kA2/4)(1+1+1+1) in Equation (7) are not shown in above matrices to simplify the presentation of the matrices.
It has been shown that even small errors may result in very large errors in DOA estimation, thereby indicating a need for calibration of the detection system. Generally, these errors are constant in nature and typically do not vary randomly. Therefore, one time calibration is usually sufficient.
Under closer examination of the Equations presented herein, some of the terms presented in the Equations may be trimmed or merged together, as illustrative examples, γ1″γ8=−(γ2−γ7) and γ1−γ7=(γ8−γ2). Therefore, the Equation for B3 for example may be re-expressed as:
B3=−a1 cos(ϕ1+Δζ1)−a2 sin(ϕ2+Δζ2)−a3 sin(ϕ3+Δζ3)+a4 sin(ϕ3+Δζ4)+a5 sin(ϕ4+Δζ5)+a6 cos(−ϕ1+Δζ6).
When the error terms are small, it is possible to reformulate the expression for B3 through Taylor series approximation as:
Which may be simplified into
where H3 is a calibrated model for channel 3 and is expressible as
and E3 is a constant error vector for channel 3 and is expressible as
E3 includes all error terms and may be estimated. As mentioned previously, the errors are constant in nature since they all originate from practical non-varying non-idealities in radio frequency (RF) front-end circuitry. Therefore, a least square (LS) technique may be applied in the estimation of the DOA in two dimensions, when a sufficient number of samples or measurement data after the fabrication of the detection device and assembly thereof is provided.
The desired operational range of angle in both dimensions may be partitioned into a plurality of cells with predetermined elevation and azimuth angles. Therefore, for a given DOA, there is a corresponding cell. 3 (with the size of 8×M which actually includes M vectors of H3) would be obtained. The operations may be expressed as
3TE3
and
E3=(3T
3)−1
3T
As an illustrative example, the measurements for calibration are conducted with a fixed θE and sweeping θH over an entire operational range. Therefore, for each row, one vector of
The bus may be one or more of any type of several bus architectures including a memory bus or memory controller, a peripheral bus, video bus, or the like. The CPU may comprise any type of electronic data processor. The memory may comprise any type of system memory such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous DRAM (SDRAM), read-only memory (ROM), a combination thereof, or the like. In an embodiment, the memory may include ROM for use at boot-up, and DRAM for program and data storage for use while executing programs.
The mass storage device may comprise any type of storage device configured to store data, programs, and other information and to make the data, programs, and other information accessible via the bus. The mass storage device may comprise, for example, one or more of a solid state drive, hard disk drive, a magnetic disk drive, an optical disk drive, or the like.
The video adapter and the I/O interface provide interfaces to couple external input and output devices to the processing unit. As illustrated, examples of input and output devices include the display coupled to the video adapter and the mouse/keyboard/printer coupled to the I/O interface. Other devices may be coupled to the processing unit, and additional or fewer interface cards may be utilized. For example, a serial interface such as Universal Serial Bus (USB) (not shown) may be used to provide an interface for a printer.
The processing unit also includes one or more network interfaces 950, which may comprise wired links, such as an Ethernet cable or the like, and/or wireless links to access nodes or different networks 955. The network interface allows the processing unit to communicate with remote units via the networks. For example, the network interface may provide wireless communication via one or more transmitters/transmit antennas and one or more receivers/receive antennas. In an embodiment, the processing unit is coupled to a local-area network or a wide-area network for data processing and communications with remote devices, such as other processing units, the Internet, remote storage facilities, or the like.
Although the present disclosure and its advantages have been described in detail, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the disclosure as defined by the appended claims.
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Number | Date | Country | |
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20170059685 A1 | Mar 2017 | US |