WO1998059471A2 - Method and apparatus for digital compensation of radio distortion in a wireless communication system - Google Patents
Method and apparatus for digital compensation of radio distortion in a wireless communication system Download PDFInfo
- Publication number
- WO1998059471A2 WO1998059471A2 PCT/US1998/012466 US9812466W WO9859471A2 WO 1998059471 A2 WO1998059471 A2 WO 1998059471A2 US 9812466 W US9812466 W US 9812466W WO 9859471 A2 WO9859471 A2 WO 9859471A2
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- radio
- distortion
- impulse response
- compensation
- signal
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
- H04L27/32—Carrier systems characterised by combinations of two or more of the types covered by groups H04L27/02, H04L27/10, H04L27/18 or H04L27/26
- H04L27/34—Amplitude- and phase-modulated carrier systems, e.g. quadrature-amplitude modulated carrier systems
- H04L27/36—Modulator circuits; Transmitter circuits
- H04L27/366—Arrangements for compensating undesirable properties of the transmission path between the modulator and the demodulator
- H04L27/367—Arrangements for compensating undesirable properties of the transmission path between the modulator and the demodulator using predistortion
- H04L27/368—Arrangements for compensating undesirable properties of the transmission path between the modulator and the demodulator using predistortion adaptive predistortion
Definitions
- the present invention relates generally to a digital signal processing method and apparatus for a wireless communication system. More particularly, the present invention relates to a method and apparatus for digitally compensating for radio distortion in a wireless communication system.
- any wireless communication system various distortions are generated during signal transmission and reception. Such distortions may be caused by various components in the reception and transmission paths or by the radio-air interface. These distortions can significantly degrade communication system performance if not properly compensated.
- FIG. 1 illustrates a typical wireless communication system.
- a signal to be transmitted is encoded in a Source Encoder 100 and a Channel Encoder 200, then modulated in a Digital Modulator 300.
- the encoded signal can be modulated according to any known modulation technique. For example, in the Personal Wireless Telecommunications Interoperability Standard (PWT), as described in Part 2: Physical Layer, TIA/EIA 662-2, a signal is 7r/4 Differential Quadrature Phase Shift Keyed (DQPSK) modulated.
- PWT Personal Wireless Telecommunications Interoperability Standard
- DQPSK Differential Quadrature Phase Shift Keyed
- the Digital Modulator 300 is typically implemented in a digital modem.
- the modulated signal is then passed through a Transmission Channel 400 before being transmitted through the air via an Antenna 500.
- a series of bandpass filters are typically employed in the Transmission Channel 400 to assure that the signal to be transmitted is confined within a pre-defined frequency band
- the transmitted signal is received at an Antenna 600, processed through a Receiving Channel 700, which has similar circuitry as the Transmission Channel 400, - demodulated in a Digital Demodulator 800, and decoded in a Channel Decoder 900 and a Source Decoder 1000.
- the output from the Source Decoder 1000 is the same as the input to the Source Encoder 100.
- FIG. 2 illustrates a detailed block diagram of the Transmission Channel 400.
- the Transmission Channel 400 includes a D/A Converter 410, Intermediate Frequency (IF) Bandpass Filters 420 and 440, Mixers 430 and 450, and a Radio Frequency (RF) Front End 460.
- the IF Filters 420 and 440 confine the signal to a particular frequency band
- the Mixers 430 and 450 up convert the baseband modulated signal to an intermediate frequency
- the RF Front End 460 converts the up converted signal to a radio frequency.
- the IF Filter 420 is typically an interstage filter that is centered, for example, at 11.25 MHZ
- the IF Filter 440 is typically a SAW filter that is centered, for example, at 422.5 MHZ.
- the IF Filters 420 and 440 are typically designed with analog components or surface acoustic wave technology. Due to their analog nature, the IF Filters 420 and 440 often produce imperfect frequency responses which cause channel distortion. The channel distortion degrades the quality of the transmitted signal.
- Digital compensation provides an attractive alternative.
- the Digital Cordless Telephone (DCT) 1900 modem includes a digital compensation filter.
- this filter is primarily concerned with compensating distortion due to signal digitization.
- the present invention overcomes the above-described problems, and provides additional advantages, by providing a method and apparatus for digitally compensating for radio channel distortion in a radio signal in a wireless communication system.
- digital compensation is performed in digital modem ASIC circuitry in the wireless communication system.
- the actual frequency response of components in the wireless communication system contributing to distortion is determined.
- the inverse of the actual frequency response is multiplied with a desired frequency response of the wireless communication system to produce a compensation frequency response.
- the compensation frequency response is applied to the radio signal to compensate for radio distortion.
- the actual impulse response of components in the wireless communication system contributing to distortion is determined and convolved with an input reference signal to produce an actual output signal.
- a desired system impulse response is convolved with the same input reference signal to produce a desired output signal.
- the actual output signal is subtracted from the desired output signal to produce an error signal.
- An adaptive algorithm is applied to the error signal to produce an adaptive compensation impulse response.
- the adaptive compensation impulse response is convolved with the input reference signal and the actual impulse response to produce an updated actual output signal, and the updated actual output signal is subtracted from the desired output signal to produce an updated error signal.
- the adaptive algorithm is applied to the updated error signal to form an updated adaptive compensation impulse response.
- the adaptive compensation impulse response is updated, the updated adaptive compensation impulse response is convolved with the actual impulse response and the input reference signal to produce the updated output signal, and the updated actual output signal is subtracted from the desired output signal to produce the updated error signal until the adaptive compensation impulse response converges to an optimal solution. Then, the adaptive compensation impulse response is applied to the radio signal to compensate for radio distortion.
- Figure 1 illustrates a block diagram of a typical wireless communication system
- Figure 2 illustrates a detailed block diagram of a radio transmission channel
- FIG. 3 illustrates an exemplary radio transmission system employing digital compensation according to the present invention
- Figure 4 illustrates a digital compensation technique using an inverse of an actual frequency response according to a first embodiment of the present invention
- Figure 5 illustrates a digital compensation technique using an adaptive algorithm according to a second embodiment of the present invention
- Figure 6 illustrates an implementation of the digital compensation technique illustrated in Figure 5.
- a digital compensation method and apparatus are provided in a digital modem for compensating for radio distortion in a radio signal in a wireless communication system.
- distortion caused by filters in the transmission channel in the communication system is digitally compensated for by a digital compensation filter.
- Figure 3 illustrates an exemplary radio transmission system employing digital compensation according to the present invention.
- a Digital Compensator 350 is included in the transmission system between the Digital Modulator 300 and the Transmission Channel 400. Although shown as a separate device, the Digital Compensator 350 can be included in the Digital Modulator 300.
- the Digital Compensator 350 can include a storage device and a digital compensation filter. The storage device stores compensation filter coefficients for the digital compensation filter.
- the storage device can be implemented with a memory from which the filter coefficients are downloaded into the digital compensation filter under the control of a microprocessor.
- the storage device can be implemented with hardware components, such as an Application Specific Integration Circuitry (ASIC), which can be included in the digital compensation filter.
- ASIC Application Specific Integration Circuitry
- radio distortion is digitally compensated for by applying a compensation frequency response, which is derived through multiplying a desired system frequency response with a matrix inversion of an actual system frequency response, to the radio signal.
- Figure 4 illustrates a technique for digital compensation according to the first embodiment.
- the actual output, Y'(f), of the input reference signal, X(f) is the same as the desired output, Y(f).
- An actual frequency response, an ideal frequency response, and a compensation frequency response of the system are represented in Figure 4 as H radl0 (f), H des ⁇ re (f), and H comp (f), respectively.
- H radl0 (f) H des ⁇ re (f)
- H comp H comp
- H radl0 ( ) may have the following form:
- the actual frequency responses of individual system components can be measured using conventional measurement tools, e.g. , a spectrum analyzer.
- the desired transmitted frequency response, H des ⁇ re (f) can be determined from the wireless communication system requirements.
- the desired system frequency response in the baseband is a root raise cosine filter response, i.e.,
- H H radl0 (f) is the Hermitian (complex conjugate transpose) of H radl0 (f), and ' + ' represents a pseudo- inverse operation. If H radl0 (f) is of full rank, equation (6) becomes:
- the filter coefficients of the digital compensation filter can be obtained from the compensation frequency response H ⁇ omp r ⁇ - An input radio signal is filtered through the digital compensation filter to reduce distortion.
- radio distortion is digitally compensated for by employing an adaptive filtering technique in which a gradient descent algorithm is used to obtain an adaptive compensation impulse response while minimizing a cost function.
- Figure 5 illustrates a technique for digital compensation using an adaptive algorithm according to the second embodiment of the present invention.
- I and J represent the number of taps of h des ⁇ re (i) and h des ⁇ re (j).
- the desired system impulse response, h des , re (i), and the actual system impulse response, n rad ⁇ o (J) can De obtained from the desired system frequency response, H des ⁇ re (f), and the actual system frequency response, H radl0 (f), respectively, by applying an inverse-Z transform.
- h des ⁇ re (i) can be determined from the wireless communication system requirements.
- h radl0 (j) can be obtained by using conventional measurement tools, such as a spectrum analyzer and a network analyzer, to measure the actual impulse response of individual components in the system contributing to distortion and then convolving the individual actual impulse responses.
- An adaptive algorithm is used to form the adaptive compensation impulse response.
- the adaptive compensation impulse response w m (k) is applied to the radio signal to compensate for distortion.
- the order "m” of the adaptive compensation impulse response w m (k) can be selected as desired.
- the function e(k) represents the error between the desired output signal d(k) and the actual output signal y'(k), i.e.
- an adaptive algorithm is selected to minimize the cost function of the adaptive system. Minimizing the cost function through the adaptive process causes the adaptive compensation impulse response to converge to an optimal solution. While various adaptive algorithms can be used, a least mean square (LMS) algorithm is described here.
- LMS least mean square
- FIG 6 illustrates an implementation of the adaptive system shown in Figure 5.
- the adaptive compensation impulse response can be obtained by the following updating equation:
- W m (k + l) W m (k)- ⁇ V(k) (12)
- ⁇ is a convergence parameter that determines the stability and convergence speed of an adaptive process
- V(k) is an instantaneous gradient estimate of the cost function with respect to adaptive compensation impulse response, i.e. ,
- the parameter ⁇ (k) corresponds to the filtered input signal vector having the same dimensions as the adaptive compensation impulse response w m (k).
- Each component of ⁇ (k) is a convolution of the input reference sequence x(k) and the actual radio impulse response, h radl0 (j).
- the filter coefficients of the digital compensation filter can be obtained from the adaptive compensation impulse response w m (k) once it converges to an optimal solution.
- An input radio signal is filtered through the digital compensation filter to reduce distortion.
- the adaptive compensation impulse response is applied using a Finite Impulse Response (FIR) filter
- FIR Finite Impulse Response
- the method according to this embodiment of the present invention can be employed with various filter types, including Infinite Impulse Response (IIR) filters and lattice filters.
- IIR Infinite Impulse Response
- the adaptive process may also be applicable in a frequency domain.
- transmission quality and modulation accuracy are improved by employing digital compensation in a digital modem in the transmission path of a wireless communication system.
- Transmission quality and modulation accuracy in the transmission path can be categorized by a series of parameters.
- One important parameter is DVEM (Differential Vector Error Magnitude) which measures the differential error for a noncoherent differential demodulator, or EVM (Error Vector Magnitude) for a coherent demodulator.
- DVEM Downifferential Vector Error Magnitude
- EVM Error Vector Magnitude
- Exemplary radio transmission performance results were obtained using the digital compensation method and apparatus according to the present invention. Using an Anritsu 8604A Transmitter Tester, improvements of approximately 2.74% DVEM including 1.84% magnitude error and 1.16° (16%) phase error, and 8.17 dB I/Q offset were measured.
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
- Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
- Transmitters (AREA)
Abstract
Description
Claims
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
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AU81448/98A AU8144898A (en) | 1997-06-20 | 1998-06-19 | Method and apparatus for digital compensation of radio distortion in a wireless communication system |
Applications Claiming Priority (2)
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US87970197A | 1997-06-20 | 1997-06-20 | |
US08/879,701 | 1997-06-20 |
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WO1998059471A2 true WO1998059471A2 (en) | 1998-12-30 |
WO1998059471A3 WO1998059471A3 (en) | 1999-04-01 |
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PCT/US1998/012466 WO1998059471A2 (en) | 1997-06-20 | 1998-06-19 | Method and apparatus for digital compensation of radio distortion in a wireless communication system |
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2002065719A1 (en) * | 2001-02-02 | 2002-08-22 | Ericsson, Inc. | Estimation and compensation of the impulse response of the pulse-shaping filter in a wireless terminal |
WO2003049398A1 (en) * | 2001-12-04 | 2003-06-12 | Intersil Americas Inc. | Transmit frequency domain equalizer |
WO2004008707A1 (en) * | 2002-07-15 | 2004-01-22 | Nokia Corporation | Adaptive pre-equalization method and apparatus |
WO2009093094A1 (en) * | 2008-01-24 | 2009-07-30 | Agence Spatiale Europeenne | A method for compensating signal distortion in an emitting payload |
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US4238855A (en) * | 1979-09-19 | 1980-12-09 | Rca Corporation | Parallel operation of multiple TV transmitters |
US4494214A (en) * | 1983-02-03 | 1985-01-15 | Rca Corporation | Apparatus for generating scaled weighting coefficients for sampled data filters |
EP0518835A1 (en) * | 1991-06-12 | 1992-12-16 | Telefonaktiebolaget L M Ericsson | Method of compensating the dependence of the useful transmitter signal on the transfer function of a combiner filter |
US5489879A (en) * | 1995-02-16 | 1996-02-06 | Seiko Communication Systems, Inc. | Amplitude and phase error normalization of subcarrier generator |
-
1998
- 1998-06-19 WO PCT/US1998/012466 patent/WO1998059471A2/en active Application Filing
- 1998-06-19 AU AU81448/98A patent/AU8144898A/en not_active Abandoned
Patent Citations (4)
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US4238855A (en) * | 1979-09-19 | 1980-12-09 | Rca Corporation | Parallel operation of multiple TV transmitters |
US4494214A (en) * | 1983-02-03 | 1985-01-15 | Rca Corporation | Apparatus for generating scaled weighting coefficients for sampled data filters |
EP0518835A1 (en) * | 1991-06-12 | 1992-12-16 | Telefonaktiebolaget L M Ericsson | Method of compensating the dependence of the useful transmitter signal on the transfer function of a combiner filter |
US5489879A (en) * | 1995-02-16 | 1996-02-06 | Seiko Communication Systems, Inc. | Amplitude and phase error normalization of subcarrier generator |
Non-Patent Citations (3)
Title |
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M. G. BELLANGER: "ADAPTIVE DIGITAL FILTERS AND SIGNAL ANALYSIS" 1987 , MARCEL DEKKER, INC. , US, NEW YORK XP002090179 see section 1.3 * |
SALEH A A M ET AL: "ADAPTIVE LINEARIZATION OF POWER AMPLIFIERS IN DIGITAL RADIO SYSTEMS" BELL SYSTEM TECHNICAL JOURNAL, vol. 62, no. 4, PART 01, April 1983, pages 1019-1033, XP002028354 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2002065719A1 (en) * | 2001-02-02 | 2002-08-22 | Ericsson, Inc. | Estimation and compensation of the impulse response of the pulse-shaping filter in a wireless terminal |
US6920191B2 (en) | 2001-02-02 | 2005-07-19 | Telefonaktiebolaget Lm Ericsson (Publ) | Estimation and compensation of the pulse-shape response in wireless terminals |
WO2003049398A1 (en) * | 2001-12-04 | 2003-06-12 | Intersil Americas Inc. | Transmit frequency domain equalizer |
US7103112B2 (en) | 2001-12-04 | 2006-09-05 | Conexant, Inc. | Transmit frequency domain equalizer |
WO2004008707A1 (en) * | 2002-07-15 | 2004-01-22 | Nokia Corporation | Adaptive pre-equalization method and apparatus |
WO2009093094A1 (en) * | 2008-01-24 | 2009-07-30 | Agence Spatiale Europeenne | A method for compensating signal distortion in an emitting payload |
US8325851B2 (en) | 2008-01-24 | 2012-12-04 | Agence Spatiale Europeene | Method for compensating signal distortion in an emitting payload |
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Publication number | Publication date |
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WO1998059471A3 (en) | 1999-04-01 |
AU8144898A (en) | 1999-01-04 |
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