Background of the Invention
The invention relates to polyphase quadrature digital tuners.
In many coherent sonar, radar and communication applications, it is useful for the receiver outputs to be converted to baseband inphase quadrature (denoted I and Q) signal components. This process is referred to as quadrature sampling. When the application uses digital signal processing (DSP), the I and Q signals are converted to digital signals by analog-to-digital (A/D) converters.
Summary of the Invention
It is an object of the invention to provide an efficient polyphase quadrature digital tuner that does not require direct digital synthesis. The elimination of direct digital synthesis greatly simplifies the design and implementation of the digital tuner. Although, the proposed digital tuner does not have continuous tuning frequencies unless the sampling rate is varied, it achieves full frequency coverage with uniformly spaced center frequencies, which is adequate for many applications.
It is also an object of the invention to provide a digital tuner which can be used for just about any commercial and military application that require RF receivers. These application areas include communications, cellular phones, cellular base stations, mobile communications, satellite communications, radar, and electronics warfare. In addition to RF receivers, the invention may be used for sonar receivers.
Accordingly, the invention provides a polyphase quadrature digital tuner system which converts input signals to baseband inphase and quadrature signal components. The system includes a signal receiver which receives the input signals having a frequency centered around a predetermined carrier frequency. A signal processor continuously samples the input signals and multiplies selected portions of the input signals by a value of 1 or -1 to produce discrete sequences of N input samples, where N is an integer. An inphase signal channel includes a first set of N filters in a first filter stage each having respective filter coefficients, the first set of filters arranged to receive the discrete sequences, and a first signal summer which sums the outputs of the first set of N filters to produce the inphase signal component. A quadrature signal channel includes a second set of N filters in the first filter stage each having respective filter coefficients, the second set of filters arranged to receive the discrete sequences, and a second signal summer which sums the outputs of the second set of N filters to produce the quadrature signal component. The input samples are provided to the inphase and quadrature signal channels so that each filter of both channels receives one input sample of each sequence.
Brief Description of the Drawings
FIG. 1 is a schematic diagram of a conventional digital tuner;
FIG. 2 is a schematic diagram of a conventional FIR filter and a N:1 decimation module implemented in a polyphase FIR filter;
FIG. 3 is a schematic diagram of a digital tuner made more efficient by replacing the lowpass filter and N:1 decimation stages of the tuner of FIG. 1 with the polyphase FIR filter of FIG. 2;
FIG. 4 is a schematic diagram of a polyphase digital tuner in which the DDS and mixers are removed from the tuner of FIG. 3 in accordance with the invention;
FIG. 5 is a graph showing the polyphase filter response required for continuous frequency coverage without aliasing;
FIG. 6 is a schematic diagram of a polyphase quadrature digital tuner in accordance with the invention;
FIG. 7 is a graph showing the polyphase filter response required for a passband width of f.sub.s /2N; and
FIG. 8 is a schematic diagram of a multistage polyphase quadrature digital tuner in accordance with the invention.
Detailed Description of the Illustrated Embodiments
FIG. 1 is a schematic diagram of a conventional digital tuner 100. A radio frequency (RF) or intermediate frequency (IF) input 102 is sampled by an analog-to-digital (A/D) converter 104 and is mixed down to baseband by digital mixers 106 and 108 using the outputs of a direct digital synthesis (DDS) module 110. The DDS generates cosine (COS) and sine (SIN) waves to mix the signal down to baseband in-phase (I) and quadrature (Q) signals. The output of the mixers are then filtered via low pass filters 112 and 114, and decimated by a factor of N via decimation modules 116 and 118 in order to reduce the output sampling rate.
When the lowpass filters are finite response (FIR) filters, then polyphase techniques can be used for filtering and decimation in order to reduce the signal processing operations count. FIG. 2 is a schematic diagram of an FIR filter and a N:1 decimation module implemented in a polyphase FIR filter 200. Assume the coefficients of the original K-tap FIR filters to be H[k], where k=0,1,2, . . . , K-1. Let the input 202 to the original filter be x[j], where j=0,1,2, . . . , J-1. In the polyphase implementations, the original K-tap filter is divided into N of K/N tap subfilters 104(0)-104(N). Accordingly, with reference to the n-th subfilter H[n,m]=H[mN+n], where n=0,1,2, . . . , N-1, and m=0,1,2, . . . , (K/N)-1. On the input side, x[iN+n] is sent to the n-th subfilter, where i=0,1,2, . . . (J/N)-1, via controlled switch 203. The subfilter outputs, which resulted from the inputs x[iN+n] with the same i, are summed at a summation module 206 to produce the polyphase filter output y[i] 208.
The polyphase filter performs identical operations as the original H[k] followed by N:1 decimation. However, the polyphase filter requires approximately N times less numerical operations as the original filter and decimation because the polyphase does not compute the output data that is thrown away in the decimation stage.
FIG. 3 is a schematic diagram of a digital tuner 300 made more efficient by replacing the lowpass filter and N:1 decimation stages of the tuner 100 of FIG. 1 with the polyphase FIR filter 200 of FIG. 2. However, when digital tuning frequency f.sub.t is limited to f.sub.t =l.multidot.f.sub.s /N, where f.sub.s is the A/D converter sampling frequency and l=0,1,2, . . . , (N/2)-1, then the DDS and digital mixer can be eliminated as shown in FIG. 4.
FIG. 4 is a schematic diagram of a polyphase digital tuner 400 in which the DDS 110 and mixers 106, 108 are removed from the tuner 300 of FIG. 3. In this case, the in-phase subfilters should be, H.sub.I [n,m]=cos((l.multidot.2.pi./N)n+p).multidot.H[n,m], and quadrature channel subfilters should be, H.sub.Q [n,m]=sin((l.multidot.2.pi./N)n+p).multidot.H[n,m], where p is the phase offset. The configuration of FIG. 4 is mathematically equivalent to that of FIG. 3 for these limited tuning frequencies. Since generating cosine and sine waves with large spur free dynamic range requires significant hardware, the configuration of FIG. 4 can be very efficient in hardware implementation.
It will be appreciated that there are some limitations to the technique shown in FIG. 4. It is impossible for the digital tuner 400 to have continuous frequency coverage without signals outside the turning frequency band aliasing in-band. Since the tuning frequency is spaced f.sub.s /N, apart, the width of the filter passband also has to be f.sub.s /N in order to have full frequency coverage. However, the maximum bandwidth of the filter output is also f.sub.s /N, which is equal to the output sampling rate. Accordingly, the filter has to reject all signals outside the passband in order to avoid the outside signals from aliasing in-band. This leaves no room for filter transition band and the filter has to be infinitely sharp as shown in the graph of FIG. 5. FIG. 5 is a graph showing the polyphase filter response required for continuous frequency coverage without aliasing.
There are some cases when continuous frequency coverage is not required. For example, communications frequency may be uniformly spaced, but the bandwidth may be somewhat less than the frequency spacing in order to introduce a "guard band" which keep the signals at different frequency bin from interfering with each other. In this case, the width of the filter's transition band may be equal to the width of the guard band. However, this transition band usually tends to be narrow in order to maximize the utilization of the frequency allocation. Therefore, the filter may require many taps in order to meet the transition band requirements.
The aforementioned problems with the digital tuner 400 can be resolved with the innovative shown in FIG. 6. FIG. 6 is a schematic diagram of a polyphase quadrature digital tuner 600 in accordance with the invention. A radio frequency (RF) or intermediate frequency (IF) input 602 is sampled by an analog-to-digital (A/D) converter 604 and is provided to a multiplier 606 which alternately multiplies the sampled input by 1 or -1. The signals are then provided to polyphase FIR filters 608 and 610 via controlled switches 612 and 614. Each of the polyphase FIR filters include FIR filters 616(0)-616(N) and 618(0)-618(N), respectively. The outputs of the FIR filters are summed by summation modules 620 and 622 to respectively output the I and Q signals.
In this case, the filter coefficients are H.sub.I [m, n]=cos((l.multidot..pi./N)n+p).multidot.H[n,m], and H.sub.Q [m,n]=sin((l.multidot..pi./N)n+p).multidot.H[n,m], where l=0,1,2, . . . , N-1. The input x[n] is multiplied by -1 every other N samples when l is odd. Accordingly, the new toggled input x.sub.t is x.sub.t [iN+n]=(-1).sup.i x[iN+n]. An input equal to x.sub.t [iN+n]=(-1).sup.i+1 x[iN+n] works just as well. FIG. 6 is equivalent to FIG. 3 for these tuning frequencies and the tuning frequency spacing is reduced to f.sub.s /2N. The available tuning frequencies are f.sub.t =l.multidot.f.sub.s /2N, where l=0,1,2, . . . , N-1. The configuration of tuner 600 is mathematically equivalent to that of tuner 300 for these tuning frequencies.
With the architecture of tuner 600 shown in FIG. 6, it is possible to get full frequency coverage without aliasing. While the complex output sampling rate is still at f.sub.s /N, the tuning frequency spacing is at f.sub.s /2N. Thus, the filter's passband width can be made f.sub.s /2N wide and can get the full coverage as shown in the graph of FIG. 7. FIG. 7 is a graph showing the polyphase filter response required for a passband width of f.sub.s /2N. There is plenty of room for the transition band, which enables the filter to attentuate the signals that alias to baseband.
It is possible to make the passband wider or narrower than f.sub.s /2N depending on the applications requirement. When the passband is narrower than f.sub.s /2N, it is possible to add another lowpass polyphase filter as shown in the configuration of FIG. 8.
FIG. 8 is a schematic diagram of a multistage polyphase quadrature digital tuner 800. A radio frequency (RF) or intermediate frequency (IF) input 802 is sampled by an analog-to-digital (A/D) converter 804 and is provided to a multiplier 806 which alternately multiplies the sampled input by 1 or -1. The signals are then provided to a first stage having polyphase FIR filters 808 and 810 via controlled switches 812 and 814. Each of the polyphase FIR filters include FIR filters 816(0)-816(N) and 818(0)-818(N), respectively. The outputs of the first stage FIR filters are summed by summation modules 820 and 822 and provided to a second stage of polyphase FIR filters via controlled switches 824 and 826, respectively. The second stage includes polyphase FIR filters 828 and 830. Each of the polyphase FIR filters include FIR filters 832(0)-832(N) and 834(0)-834(N), respectively. The outputs of the FIR filters are summed by summation modules 836 and 838 to respectively output the I and Q signals. It will be appreciated by those of skill in the art that further filter stages can be utilized.
The advantage of the second or subsequent polyphase filter stages is that the output sampling rate can be further reduced. Lower output sampling rates can reduce the computational requirements of the subsequent signal processing tasks. In FIG. 8, a 2:1 decimation polyphase filter is used to result in the final sampling rate of f.sub.s /2N. Another advantage of using multiple stage polyphase filtering is the reduced computational requirement. It takes significantly fewer taps to provide a sharp transition band in the second stage polyphase filter than in the first stage because the transition bandwidth is not as small compared to the input sampling rate.
There are techniques other than flipping the sign of every other sampled input to the subfilter to achieve mathematically equivalent results for the architectures shown in FIGS. 6 and 8. For example, the sign of the coefficients of the subfilters can be flipped every other time a new input goes into a subfilter. Another technique involves flipping the sign of the product of the input and coefficient of the each tap of the filter every other time a new input is provides to a subfilter. Furthermore, another technique involves the partial product outputs of each subfilter can be alternately multiplied by 1 or -1.
There are other architectures which can implement the signal processing as the configurations of FIGS. 6 and 8. For example, banks of subfilters can be implemented with a partial product engine which computes the sum of products. For lower sample rate systems, it is also possible to implement these algorithms in software. In addition, if quadrature signal processing is not required by the application, it is possible to use only the inphase or quadrature channel.
Although the invention has been developed using FIR filters as subfilters, it is possible to generalize the architecture for infinite impulse response (IIR) filters as well as the combination of FIR and IIR using known polyphase architectures.
The foregoing description has been set forth to illustrate the invention and is not intended to be limiting. Since modifications of the described embodiments incorporating the spirit and substance of the invention may occur to persons skilled in the art, the scope of the invention should be limited solely with reference to the appended claims and equivalents thereof.