TWI522638B - Apparatus and method for reducing harmonic interference gps reception - Google Patents

Description

Device and method for reducing harmonic interference GPS signal reception

The invention relates to a device and a method for reducing harmonic interference GPS signals, in particular to a device and a method for eliminating harmonic interference of a GPS signal by using a digital method.

With the trend, more and more communication functions are integrated into a single wireless communication device. For example, a radio frequency (RF) transceiver and a GPS (Global Positioning System) receiver are simultaneously integrated into a wireless communication device. The wireless communication device uses the RF transceiver to wirelessly communicate with the RF signal of a base station, and the GPS receiver receives the GPS signal. When the RF transceiver of the wireless communication device receives or transmits the RF signal, the GPS receiver can simultaneously receive the GPS signal and continue to perform the GPS satellite positioning function.

However, since the RF transceiver transmits an RF signal, the RF signal it transmits easily leaks to the receiving path of the GPS receiver. If the harmonic of the leak signal falls on the receiving band of the GPS receiver, the GPS receiver will suffer from the harmonic interference of the co-channel, then the GPS signal received by the GPS receiver will be distorted, and GPS satellite positioning affecting wireless communication devices.

In view of the above, the present invention will provide an apparatus and method for reducing harmonic interference GPS signal reception, which will prevent the wireless communication device from affecting the GPS satellite positioning function during a call, which will be the object of the present invention.

The invention provides a method for reducing harmonic interference GPS signal reception, the method is applied to a wireless communication device, and the harmonic distortion generated by the wireless communication device is estimated to construct an estimated harmonic distortion. In the sample, when the wireless communication device performs simultaneous call and GPS satellite positioning, the received GPS signal is subtracted from the estimated harmonic distortion sample, thereby reducing the distortion caused by the harmonic interference of the GPS signal, so that the wireless communication device can Accurate satellite The operation of positioning.

The present invention provides a device and method for reducing harmonic interference GPS signal reception. Before receiving a GPS signal, the wireless communication device generates a radio frequency signal to be transmitted in advance to construct an estimate by using the RF signal to be transmitted. Harmonic distortion samples.

The present invention provides a device and method for reducing harmonic interference GPS signal reception. The wireless communication device generates a radio frequency signal to be transmitted in advance before receiving the GPS signal, and at least one surface acoustic wave in a GPS signal receiving path. The filter performs a characteristic test to verify characteristic parameters of at least one surface acoustic wave filter to construct an estimated harmonic distortion sample by using the characteristic parameters of the RF signal to be transmitted and the surface acoustic wave filter.

The invention provides a device and a method for reducing harmonic interference GPS signal reception, which uses an error minimization algorithm to calculate an error signal between a GPS signal and an estimated harmonic distortion sample to obtain a calculation result, using a minimum The calculation result of the error adjusts the estimated harmonic distortion samples so that the estimated harmonic distortion samples can be adaptively adjusted to a more precise state to further reduce the distortion of the GPS signal.

To achieve the above object, the present invention provides a device for reducing harmonic interference GPS signal reception, comprising: a device for reducing harmonic interference GPS signal reception, comprising: an RF transceiver module, generating a desired transmission a signal; a GPS signal receiving path, comprising a low noise amplifier, a GPS signal processor and an analog-to-digital converter, a low noise amplifier, a GPS signal processor and an analog digital converter are sequentially connected, wherein the GPS signal processing The device receives an amplified analog GPS signal via a low noise amplifier, the analog digital converter converts the analog GPS signal into a digital GPS signal, and a harmonic distortion predictor that connects the RF transceiver module and the GPS signal receiving path to utilize The first signal constructs an estimated harmonic distortion sample in a digital manner, and subtracts the estimated harmonic distortion sample from the digital GPS signal, so that the digital GPS signal in the digital domain uses the digital method to eliminate harmonic interference. Reduce the distortion of digital GPS signals.

In an embodiment of the invention, the digital GPS signal is a GPS signal that is distorted by harmonic interference, and the harmonic interference is caused by a leakage signal generated when the first transceiver is transmitted by the RF transceiver module.

In an embodiment of the invention, the GPS signal receiving path further includes one or more The surface parameter filter, the surface parameter filter is connected to the input of the low noise amplifier and/or the output of the low noise amplifier.

In an embodiment of the invention, the device further includes a verification unit, and the verification unit is disposed between the GPS signal receiving path and the harmonic distortion predictor to test the characteristics of the surface acoustic wave filter and verify at least one surface. The characteristic parameters of the acoustic wave filter, wherein the harmonic distortion predictor uses the characteristic parameters of the first signal and the surface acoustic wave filter to construct an estimated harmonic distortion sample.

In an embodiment of the invention, the device further includes a minimization error calculation unit, and the minimization error calculation unit is connected to the GPS signal reception path and the harmonic distortion predictor, wherein the minimization error calculation unit obtains the digital GPS signal and the estimated harmonic An error signal between the wave distortion samples, the error signal is calculated to obtain at least one weight value, and the weighted value is used to adjust the operation coefficient of the harmonic distortion predictor to adjust the estimated harmonic distortion sample.

In an embodiment of the invention, the minimization error calculation unit repeatedly performs the error calculation process until the error signal converges.

In an embodiment of the invention, the minimization error calculation unit is a least mean square (LMS) calculation unit, a mean square error (MSE) calculation unit, a recursive least squares (RLS) calculation unit or an error signal. Minimized calculation unit.

In an embodiment of the invention, the device further includes a digital estimation calculation unit, wherein the digital estimation calculation unit is connected to the GPS signal receiving path and the harmonic distortion predictor, wherein the digital estimation calculation unit estimates the output energy of the digital GPS signal or The signal variability is obtained by obtaining an estimated signal, and the estimated harmonic distortion sample is adjusted by adjusting the operation coefficient of the harmonic distortion predictor by using the estimated signal.

In an embodiment of the invention, the digital estimation calculation unit is a minimum output energy (MOE) calculation unit or a minimum variability (MVU) estimation calculation unit.

In an embodiment of the invention, the harmonic distortion predictor is a Volterra digital bit filter, an adaptive digital bit filter or a filter for generating harmonic distortion samples in digital form.

In an embodiment of the invention, the radio frequency transceiver module is connected to a first antenna, the radio frequency transceiver module uses the first antenna to wirelessly communicate with a base station, and the GPS signal receiving path is connected to a second antenna, and the GPS signal receiving path is Using the second antenna to receive an analog GPS signal from a satellite number.

In an embodiment of the invention, the radio frequency transceiver module and the GPS signal receiving path share an antenna, the radio frequency transceiver module uses the antenna to wirelessly communicate with a base station, and the GPS signal receiving path uses the antenna to receive an analog GPS signal sent by a satellite. .

In an embodiment of the invention, the radio frequency transceiver module and the GPS signal receiving path are connected to the antenna via a duplexer.

The invention further provides a method for reducing harmonic interference GPS signal reception. The method is applied to GPS signal reception of a wireless communication device, and the method comprises: performing a construction process of an estimated harmonic distortion sample, comprising: generating a The first signal to be transmitted; and the input of the first signal to a harmonic distortion predictor to construct an estimated harmonic distortion sample in a digital manner; and performing a GPS signal receiving process, comprising: receiving an analog GPS signal; The conversion analog GPS signal is a digital GPS signal; and the digital GPS signal in the digital domain is digitally subtracted from the estimated harmonic distortion samples, thereby reducing the distortion of the digital GPS signal.

In an embodiment of the invention, the constructing process of performing the estimated harmonic distortion sample further includes a step of testing characteristics of a surface acoustic wave filter of a GPS signal receiving path to verify characteristics of at least one surface acoustic wave filter parameter.

In an embodiment of the invention, the constructing process of performing the estimated harmonic distortion sample further includes a step of: inputting the characteristic parameters of the first signal and the surface acoustic wave filter to the harmonic distortion predictor to construct the estimation in a digital manner Harmonic distortion samples.

In an embodiment of the invention, the constructing process of performing the estimated harmonic distortion sample further comprises performing a minimization error calculation process, comprising: obtaining an error signal between the digital GPS signal and the estimated harmonic distortion sample; The weight error value is obtained by calculating the error signal by a minimum error algorithm; and the estimated harmonic distortion sample is adjusted by adjusting the operation coefficient of the harmonic distortion predictor by using the weight value.

In an embodiment of the invention, the minimization error calculation process is performed repeatedly until the error signal converges.

In an embodiment of the invention, the minimization error algorithm is a minimum mean square (LMS) algorithm, a mean square error (MSE) algorithm, a recursive least squares (RLS) algorithm, or an algorithm to minimize error signals.

In an embodiment of the invention, the constructing process of performing the estimated harmonic distortion sample further comprises performing a digital estimation calculation process, including: estimating the output energy or signal variability of the digital GPS signal by using a digital estimation algorithm to Obtain an estimated measurement signal; and adjust the estimated harmonic distortion sample by adjusting the operation coefficient of the harmonic distortion predictor by using the estimated signal.

In an embodiment of the invention, the digital estimation algorithm is a minimum output energy (MOE) algorithm or a minimum variability (MVU) estimation algorithm.

100‧‧‧Wireless communication device

101‧‧‧Wireless communication device

102‧‧‧Wireless communication device

103‧‧‧Wireless communication device

104‧‧‧Wireless communication device

10‧‧‧RF transceiver module

11‧‧‧TX leak signal

20‧‧‧GPS signal receiving path

21‧‧‧Low noise amplifier

221‧‧‧Surface Acoustic Wave Filter

223‧‧‧Surface Acoustic Wave Filter

23‧‧‧GPS signal processor

25‧‧‧ Analog Digital Converter

291‧‧‧Adder

31‧‧‧Harmonic Distortion Estimator

32‧‧‧Digital Estimation Unit

33‧‧‧Minimum error calculation unit

35‧‧‧Check unit

51‧‧‧First antenna

52‧‧‧second antenna

53‧‧‧Base station

54‧‧‧ satellite

55‧‧‧Antenna

56‧‧‧Duplexer

FIG. 1 is a schematic structural view of an embodiment of a wireless communication device according to the present invention.

Figure 2 is a block diagram showing another embodiment of the wireless communication device of the present invention.

FIG. 3 is a schematic structural view of still another embodiment of the wireless communication device of the present invention.

Figure 4 is a block diagram showing another embodiment of the wireless communication device of the present invention.

Figure 5 is a block diagram showing another embodiment of the wireless communication device of the present invention.

Figure 6 is a block diagram showing another embodiment of the wireless communication device of the present invention.

Figure 7 is a block diagram showing another embodiment of the wireless communication device of the present invention.

Figure 8 is a flow chart of a method for reducing harmonic interference GPS signal reception according to an embodiment of the present invention.

Figure 9 is a flow chart of the method for minimizing the error calculation process of the present invention.

Figure 10 is a flow chart of a method for reducing harmonic interference GPS signal reception according to still another embodiment of the present invention.

Figure 11 is a flow chart of a method for reducing harmonic interference GPS signal reception according to still another embodiment of the present invention.

Please refer to FIG. 1 , which is a schematic structural diagram of an embodiment of a wireless communication device according to the present invention. The wireless communication device 100 of the present invention can be a cellular mobile phone or a smart phone, and includes a radio frequency (RF) transceiver module 10 and a GPS (Global Positioning System) signal receiving path 20. The RF transceiver module 10 is connected to a first antenna 51 for the first day. Line 51 is in wireless communication with a base station 53. In addition, the GPS signal receiving path 20 is coupled to a second antenna 52 for receiving an analog type of GPS signal (GPS-A) transmitted by a satellite 54 via the second antenna 52.

The RF transceiver module 10 transmits an RF signal to the base station 53 via the first antenna 51 or receives an RF signal transmitted from the base station 53 via the first antenna 51.

The GPS signal receiving path 20 includes a Low Noise Amplifier (LNA) 21, a GPS signal processor 23, and an Analog-to-Digital Converter (ADC) 25. The GPS signal processor 23 is connected to the low noise amplifier 21, and receives an amplified analog signal (GPS-A) via the second antenna 52 and the low noise amplifier 21. The analog digital converter 25 is connected to the GPS signal processor 23 to convert the GPS signal (GPS-A) from an analog form to a digital form to obtain a digital GPS signal (GPS-D).

Moreover, when the RF transceiver module 10 transmits the RF signal, the RF signal transmitted by the RF transceiver module 10 is easily leaked to the GPS signal receiving path 20, for example, the TX leakage signal 11. Then, the GPS signal receiving path 20 receives the GPS signal through the second antenna 52, and also receives the TX leakage signal 11 together. If the harmonic of the TX leakage signal 11 falls within the receiving frequency band of the GPS signal receiving path 20, the co-channel harmonic will interfere with the GPS signal received by the GPS signal receiving path 20, so that the GPS signal is generated. Distortion situation.

Here, in order to reduce the harmonic interference generated by the RF transceiver module 10 when transmitting the RF signal to the reception of the GPS signal, the present invention proposes a mechanism for reducing the reception of the harmonic interference GPS signal, and the operation process of the mechanism is as follows: The inventive wireless communication device 100 may further include a harmonic distortion predictor 31, and the harmonic distortion predictor 31 is connected to the RF transceiver module 10. Before the GPS signal receiving path 20 receives the GPS signal, the RF transceiver module 10 can generate a first signal (S1) to be transmitted in advance. The first signal S1 is an RF signal or a frequency-reduced fundamental frequency signal. The RF transceiver module 10 inputs the first signal (S1) into the harmonic distortion predictor 31.

The harmonic distortion predictor 31 receives the first signal (S1) and constructs an estimated harmonic distortion sample in a digital manner according to the first signal (S1). After the estimated harmonic distortion sample is constructed, the subsequent GPS signal receiving path 20 can perform digital GPS reception if it performs a GPS signal receiving procedure. The signal (GPS-D) subtracts the estimated harmonic distortion sample (eg, subtracts the estimated harmonic distortion sample from the digital GPS signal (GPS-D) by an adder 291) to obtain a reduced distortion Digital GPS signal (GPS-DC). Thereafter, the wireless communication device 100 can perform a GPS satellite positioning function accurately by demodulating a digital GPS signal (GPS-DC) using a demodulator. In this way, the GPS signal in the digital domain (GPS-DC) can eliminate harmonic interference by digital means, and reduce the distortion of the GPS signal (GPS-DC).

According to the above method, when the wireless communication device 100 performs simultaneous call and GPS satellite positioning, the harmonic interference generated by the call can be effectively reduced from the GPS signal receiving path 20, so that the wireless communication device 100 can be accurate. The operation of GPS satellite positioning is carried out.

Furthermore, the harmonic distortion predictor 31 of the present invention may be a Volterra digital bit filter, an adaptive digital bit filter or a digital bit filter capable of generating harmonic distortion samples in digital form.

Please refer to FIG. 2 , which is a schematic structural diagram of still another embodiment of a wireless communication device according to the present invention. In this embodiment, the RF transceiver module 10 and the GPS signal receiving path 20 of the wireless communication device 101 can share an antenna 55 and transmit wireless signals to the base station 53 and the satellite 54. Here, the RF transceiver module 10 and the GPS signal receiving path 20 can effectively reduce the circuit setting area of the wireless communication device 101 by sharing a single antenna 55. In the embodiments described later, the RF transceiver module 10 and the GPS signal receiving path 20 may be selected to have individual antennas 51, 52 or a common single antenna 55, which will not be repeatedly described herein.

Furthermore, as shown in FIG. 3, in another embodiment of the present invention, the RF transceiver module 10 and the GPS signal receiving path 20 can share the antenna 55 via a duplexer 56, thereby transmitting RF signals through the duplexer 56. Receive GPS signals.

Please refer to FIG. 4, which is a schematic structural diagram of still another embodiment of a wireless communication device according to the present invention. The wireless communication device 102 of the present embodiment further includes a minimized error calculation unit 33 connected to the GPS signal receiving path 20 and the harmonic distortion predictor 31. The minimization error calculation unit 33 obtains an error signal (E) between the digital GPS signal (GPS-D) and the estimated harmonic distortion sample, and calculates the error signal (E) to obtain at least one weight value (W), using the weight. The value (W) adjusts the operational coefficients of the harmonic distortion predictor 31 to adjust the estimated harmonic distortion samples. Here, by minimizing the error calculation unit 33 for The error signal (E) is minimized so that the estimated harmonic distortion samples can be adaptively adjusted to a more precise aspect to further reduce the distortion of the digital GPS signal (GPS-DC). Moreover, the minimization error calculation process will be repeated until the error signal (E) converges, for example, the error signal (E) converges to a fixed value. Furthermore, the minimized error calculation unit 33 of the present invention may be a Least Mean Square (LMS) calculation unit, a Mean Square Error (MSE) calculation unit, and a recursive least squares ( Recursive Least Square, RLS) calculus unit or a calculation unit for minimizing the error signal (E).

Please refer to FIG. 5, which is a schematic structural diagram of still another embodiment of a wireless communication device according to the present invention. Compared with the embodiment of FIG. 1, the GPS signal receiving path 20 of the wireless communication device 103 of the present embodiment further includes at least one surface acoustic wave filter 221/223.

In an embodiment of the present invention, the GPS signal receiving path 20 may include only a single surface acoustic wave filter 221-223. The surface acoustic wave filter 221 may be disposed between the input end of the low noise amplifier 21 and the second antenna 52. Alternatively, the surface acoustic wave filter 223 can be selectively disposed between the output of the low noise amplifier 21 and the GPS signal processor 23. Alternatively, in another embodiment of the present invention, the GPS signal receiving path 20 may include two surface acoustic wave filters 221 and 223 disposed between the input end and the second antenna 52 and at the output of the low noise amplifier 21, respectively. The terminal is connected to the GPS signal processor 23. Then, by setting the surface acoustic wave filter 221/223, the analog external signal (GPS-A) external frequency signal is filtered out.

Moreover, the wireless communication device 103 of the present embodiment further includes a check unit 35 disposed between the GPS signal receiving path 20 and the harmonic distortion predictor 31. Similarly, before the GPS signal receiving path 20 receives the GPS signal, the checking unit 35 performs a characteristic (for example, amplitude, wave speed, phase, center frequency, etc.) on the surface acoustic wave filter 221/223 in the GPS signal receiving path 20 in advance. )test. In an embodiment of the invention, the verifying unit 35 tests the characteristics of the surface acoustic wave filter 221/223 with some test data to verify characteristic parameters (P) of at least one surface acoustic wave filter, for example, amplitude, wave speed. Parameter data such as phase, center frequency, etc. Alternatively, in another embodiment of the present invention, during the manufacturing process of the wireless communication device 103, the characteristics of the surface acoustic wave filter 221/223 may be tested by an external testing device to test the characteristic parameters of the surface acoustic wave filter. (P) is directly stored in the check unit 35. Furthermore, the check unit 35 is in the checkout table. After the characteristic parameter (P) of the surface acoustic wave filter, the characteristic parameter (P) of the surface acoustic wave filter is input to the harmonic distortion predictor 31.

In this embodiment, the harmonic distortion predictor 31 receives the first signal (S1) and the characteristic parameter (P) of the surface acoustic wave filter, according to the characteristic signal (P) of the first signal (S1) and the surface acoustic wave filter. To construct an estimated harmonic distortion sample. This estimated harmonic distortion sample will reflect the distortion of the transmitted waveform caused by linear or nonlinear factors in the RF transceiver module 10 and reflect the characteristic variation of the surface acoustic wave filter 221/223 due to factors such as process or temperature. .

After the estimated harmonic distortion sample is constructed, the subsequent GPS signal receiving path 20 can subtract the estimated harmonic distortion sample from the digital GPS signal (GPS-D) by performing the GPS signal receiving procedure (for example: by Adder 291 subtracts the digitized GPS signal (GPS-D) from the estimated harmonic distortion sample) to obtain a digital signal (GPS-DC) that reduces distortion. Thereafter, the wireless communication device 103 can use the demodulator to demodulate the digital GPS signal (GPS-DC) to accurately perform the GPS satellite positioning function. Here, the harmonic distortion sample generated by the harmonic distortion predictor 31 of the present embodiment further considers the characteristic parameter (P) of the surface acoustic wave filter, so that the harmonic distortion sample can be closer to the operation when actually receiving the GPS signal. surroundings.

Of course, as shown in FIG. 6, in another embodiment of the present invention, the wireless communication device 103 may further provide a minimum error calculation unit 33. Minimizing the calculus for the error signal (E) by minimizing the error calculation unit 33 so that the estimated harmonic distortion samples can be adaptively adjusted to a more precise aspect to further reduce the digital GPS signal (GPS-DC) Distortion.

Please refer to FIG. 7 , which is a schematic structural diagram of still another embodiment of a wireless communication device according to the present invention. Compared with the embodiment of FIG. 1 , the wireless communication device 104 of the present embodiment further includes a digital estimation calculation unit 32 connected to the GPS signal receiving path 20 and the harmonic distortion predictor 31. The digital estimation calculation unit 32 is configured to estimate the output energy or signal variability of the digital GPS signal (GPS-D) to obtain an estimated signal (E _S ) and adjust the harmonic distortion by using the estimated signal (E _S ). The estimated harmonic distortion samples are adjusted by the operation coefficients of the predictor 31. Furthermore, the digital estimation calculation unit 32 of the present invention may be a minimum output energy (MOE) calculation unit or a minimum variability (Minimum Variance Unbiased, MVU) estimation calculation unit.

Here, the digital GPS signal (GPS-D) is estimated by the digital estimation calculation unit 32. The existing signal parameters are used to adjust the estimated harmonic distortion samples according to the estimated results, so that the estimated harmonic distortion samples can be adjusted to the actual digital GPS signal (GPS-D) signal changes.

Please refer to FIG. 8 , which is a flowchart of a method for reducing harmonic interference GPS signal reception according to an embodiment of the present invention. First, in step S61, a construction process of an estimated harmonic distortion sample is performed. In the construction flow step of the estimated harmonic distortion sample, in step S611, the RF transceiver module 10 generates a first signal (S1) to be transmitted. In step S613, the first signal (S1) is input to the harmonic distortion predictor 31, so that the harmonic distortion predictor 31 constructs an estimated harmonic distortion sample in digital form.

Next, in step S63, a GPS signal receiving process is performed. In step S631, the GPS signal receiving path 20 receives an analog GPS signal (GPS-A) from the satellite via the antenna. In step S633, the GPS signal (GPS-A) is converted from the analog form to the digital form to obtain a digital GPS signal (GPS-D). Finally, in step S635, the digital GPS signal (GPS-D) is subtracted from the estimated harmonic distortion samples to obtain a reduced-distortion digital GPS signal (GPS-DC).

In another embodiment of the present invention, the step S61 of constructing the estimated harmonic distortion sample includes performing a minimum error calculation process step S62. As shown in FIG. 9, in the step of minimizing the error calculation process, in step S621, the minimization error calculation unit 33 obtains an error signal (E) between the digital GPS signal (GPS-D) and the estimated harmonic distortion sample. . In step S623, the minimized error calculation unit 33 calculates the error signal (E) using a minimized error algorithm to obtain at least one weight value (W). In step S625, the minimization error calculation unit 33 adjusts the operation coefficient of the harmonic distortion predictor 31 by using the weight value (W) to adjust the estimated harmonic distortion samples. Thereafter, in step S635, the digital GPS signal (GPS-D) is subtracted from the adjusted estimated harmonic distortion samples to further reduce the distortion of the digital GPS signal (GPS-DC). Furthermore, the minimization error calculation process will be repeated until the error signal (E) converges.

Furthermore, the minimum error algorithm of the present invention is a least mean square (LMS) algorithm, a mean square error (MSE) algorithm, a recursive least squares (RLS) algorithm or one for error signals (E). ) Minimized algorithm.

Please refer to FIG. 10, which is used for reducing harmonic interference GPS signal reception according to the present invention. A method flow diagram of an embodiment. First, in step S71, a construction process of an estimated harmonic distortion sample is performed. In step S711, the RF transceiver module 10 generates a first signal (S1) to be transmitted. In step S712, the verification unit 35 performs a characteristic test on the surface acoustic wave filter 221/223 in the GPS signal receiving path 20 in advance to verify the characteristic parameter (P) of at least one surface acoustic wave filter. Step S713, the first signal (S1) and the characteristic parameter (P) of the surface acoustic wave filter are input to the harmonic distortion predictor 31, so that the harmonic distortion predictor 31 constructs an estimate in digital form. Harmonic distortion samples.

Next, in step S73, a GPS signal receiving process is performed. In step S731, the GPS signal receiving path 20 receives an analog GPS signal (GPS-A) from the satellite via the antenna. In step S733, the GPS signal (GPS-A) is converted from the analog form to the digital form to obtain a digital GPS signal (GPS-D). Finally, in step S735, the digital GPS signal (GPS-D) is subtracted from the estimated harmonic distortion samples to obtain a reduced-distortion digital GPS signal (GPS-DC).

Furthermore, in another embodiment of the present invention, the step S71 of constructing the estimated harmonic distortion samples is performed to include a step S72 of performing a minimum error calculation process. In step S72, the minimized error calculation unit 33 uses the minimized error algorithm to minimize the calculation for the error signal (E) so that the estimated harmonic distortion samples can be adaptively adjusted to a more accurate aspect. .

Please refer to FIG. 11 , which is a flowchart of a method for reducing harmonic interference GPS signal reception according to another embodiment of the present invention. First, in step S61, a construction process of an estimated harmonic distortion sample is performed. In step S611, the RF transceiver module 10 generates a first signal (S1) to be transmitted. In step S613, the first signal (S1) is input to the harmonic distortion predictor 31, so that the harmonic distortion predictor 31 constructs an estimated harmonic distortion sample in digital form. Step S615, the digital arithmetic unit 32 estimates the use of a digital signal or the output energy estimation algorithm to estimate variability digital GPS signal (GPS-D) to obtain an estimate signal (E _S), using the estimated signal ( E _S ) Adjusting the operational coefficients of the harmonic distortion predictor 31 to adjust the estimated harmonic distortion samples. Furthermore, the digital estimation algorithm of the present invention is a minimum output energy (MOE) algorithm or a minimum variability (MVU) estimation algorithm.

Next, in step S63, a GPS signal receiving process is performed. In step S631, the GPS signal receiving path 20 receives an analog GPS signal (GPS-A) from the satellite via the antenna. Step S633, The GPS signal (GPS-A) is converted from an analog form to a digital form to obtain a digital GPS signal (GPS-D). Finally, in step S635, the digital GPS signal (GPS-D) is subtracted from the estimated harmonic distortion samples to obtain a reduced-distortion digital GPS signal (GPS-DC).

The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, which is equivalent to the changes in shape, structure, features and spirit of the present invention. Modifications are intended to be included in the scope of the patent application of the present invention.

100‧‧‧Wireless communication device

10‧‧‧RF transceiver module

11‧‧‧TX leak signal

20‧‧‧GPS signal receiving path

21‧‧‧Low noise amplifier

23‧‧‧GPS signal processor

25‧‧‧ Analog Digital Converter

291‧‧‧Adder

31‧‧‧Harmonic Distortion Estimator

51‧‧‧First antenna

52‧‧‧second antenna

53‧‧‧Base station

54‧‧‧ satellite

Claims (22)

A device for reducing harmonic interference GPS signal reception comprises: a radio frequency transceiver module for generating a first signal to be transmitted; a GPS signal receiving path comprising a low noise amplifier, a GPS signal processor and a An analog-to-digital converter, the low noise amplifier, the GPS signal processor and the analog digital converter are sequentially connected, wherein the GPS signal processor receives an amplified analog GPS signal via the low noise amplifier, the analog digital conversion Converting the analog GPS signal into a digital GPS signal; and a harmonic distortion predictor connecting the RF transceiver module and the GPS signal receiving path, and constructing an estimated harmonic by digitally using the first signal The wave distortion sample subtracts the estimated harmonic distortion sample from the digital GPS signal, so that the digital GPS signal in the digital domain eliminates harmonic interference by digital means, thereby reducing the distortion of the digital GPS signal. The device of claim 1, wherein the digital GPS signal is a GPS signal that is distorted by harmonic interference, and the harmonic interference is generated by the RF transceiver module transmitting the first signal. Caused by a leak signal. The device of claim 1, wherein the GPS signal receiving path further comprises one or more surface parameter filters, the surface parameter filter connecting the input of the low noise amplifier and/or the low noise The output of the amplifier. The device of claim 3, further comprising a check unit disposed between the GPS signal receiving path and the harmonic distortion predictor for testing the surface acoustic wave filter Characterizing at least one characteristic parameter of the surface acoustic wave filter, wherein the harmonic distortion predictor constructs the estimated harmonic distortion digitally by using the first signal and the characteristic parameter of the surface acoustic wave filter sample. The apparatus of claim 1, further comprising a minimization error calculation unit, the minimization error calculation unit connecting the GPS signal reception path and the harmonic distortion predictor, wherein the minimization error calculation unit obtains An error signal between the digital GPS signal and the estimated harmonic distortion sample, calculating the error signal to obtain at least one weight value, The weighted value is used to adjust the operational coefficient of the harmonic distortion predictor to adjust the estimated harmonic distortion sample. The apparatus of claim 5, wherein the minimization error calculation unit repeatedly performs a minimization of the error calculation process until the error signal converges. The device of claim 5, wherein the minimization error calculation unit is a least mean square (LMS) calculation unit, a mean square error (MSE) calculation unit, and a recursive least squares (RLS) calculation unit. Or a calculation unit for minimizing the error signal. The apparatus of claim 1, further comprising a digital estimation calculation unit, wherein the digital estimation calculation unit is connected to the GPS signal receiving path and the harmonic distortion predictor, wherein the digital estimation calculation unit estimates The output energy or signal variability of the digital GPS signal is measured to obtain an estimated signal, and the estimated harmonic distortion sample is adjusted by adjusting the operation coefficient of the harmonic distortion predictor by using the estimated signal. The device of claim 8, wherein the digital estimation calculation unit is a minimum output energy (MOE) calculation unit or a minimum variability (MVU) estimation calculation unit. The apparatus of claim 1, wherein the harmonic distortion predictor is a Volterra digital bit filter, an adaptive digital filter, or a digital form of the estimated harmonic. A filter for distorted samples. The device of claim 1, wherein the RF transceiver module is connected to a first antenna, and the RF transceiver module wirelessly communicates with a base station by using the first antenna, and the GPS signal receiving path is connected to the first antenna. The second antenna, the GPS signal receiving path uses the second antenna to receive the analog GPS signal sent by a satellite. The device of claim 1, wherein the RF transceiver module and the GPS signal receiving path share an antenna, and the RF transceiver module uses the antenna to wirelessly communicate with a base station, and the GPS signal receiving path is utilized. The antenna receives the analog GPS signal from a satellite. The device of claim 12, wherein the RF transceiver module and the GPS signal receiving path are connected to the antenna via a duplexer. A method for reducing harmonic interference GPS signal reception, the method is applied to a wireless communication Receiving the GPS signal of the device, the step of: performing a process of constructing an estimated harmonic distortion sample, comprising: generating a first signal to be transmitted; and inputting the first signal to a harmonic distortion predictor The digital method constructs an estimated harmonic distortion sample; and performs a GPS signal receiving process, including: receiving an analog GPS signal; converting the analog GPS signal to a digital GPS signal; and causing the digital GPS in the digital domain The signal subtracts the estimated harmonic distortion samples in a digital manner and thus reduces the distortion of the digital GPS signal. The method of claim 14, wherein the constructing the estimated harmonic distortion sample comprises a step of testing a characteristic of a surface acoustic wave filter of a GPS signal receiving path to verify at least one Characteristic parameters of the surface acoustic wave filter. The method of claim 15, wherein the constructing the estimated harmonic distortion sample comprises a step of: inputting the first signal and the characteristic parameter of the surface acoustic wave filter to the harmonic distortion pre- The estimator constructs the estimated harmonic distortion samples in a digital manner. The method of claim 14, wherein the constructing the estimated harmonic distortion sample comprises performing a minimization error calculation process, comprising: obtaining the digital GPS signal and the estimated harmonic An error signal between the distorted samples; calculating the error signal by a minimum error algorithm to obtain a weight value; and adjusting the operation coefficient of the harmonic distortion predictor by using the weight value to adjust the estimated harmonic distortion sample. The method of claim 17, wherein the minimizing error calculation process is performed repeatedly until the error signal converges. The method of claim 17, wherein the minimization error algorithm is a least mean square (LMS) algorithm, a mean square error (MSE) algorithm, and a recursive least squares (RLS) An algorithm or an algorithm used to minimize the error signal. The method of claim 14, wherein the constructing the estimated harmonic distortion sample comprises performing a digital estimation calculation process, including: estimating the digital GPS signal by a digital estimation algorithm. Outputting energy or signal variability to obtain an estimated signal; and adjusting the operational coefficient of the harmonic distortion predictor by using the estimated signal to adjust the estimated harmonic distortion sample. The method of claim 20, wherein the digital estimation algorithm is a minimum output energy (MOE) algorithm or a minimum variability (MVU) estimation algorithm. The method of claim 14, wherein the harmonic distortion predictor is a Volterra digital filter, an adaptive digital filter, or a digitally generated harmonic of the estimate. A digital filter for distorted samples.