JPH05183596A - Multi-value modulation signal demodulator - Google Patents

Abstract

PURPOSE:To attain demodulation immune to fading with a low error rate by dividing the multi-value signal subject to delay detection into plural groups and demodulating a signal in each divided group. CONSTITUTION:An input signal is subject to delay detection by a delay detector 101 and inputted to a BM (branchmetric) calculation device 102. The BM calculation device 102 divides the delay detection output into, e.g. four groups, calculates the BM under the criterion for each group and the resulting data are inputted to a VA (Viterbi algorithm) computing element 103. The VA computing element 103 applies ACS calculation based on the BM and decides an optimum criterion based on the VA. A delay device 104 used the optimum criterion to delay the delay detection output by the same time as that required for the VA computing and BM calculation. A discriminator 105 uses the delayed signal and the signal subject to VA computing by the VA computing element 103 to discriminate the reception signal and outputs the result as demodulation data.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a demodulator for demodulating a multilevel modulation signal when a poor transmission line such as mobile communication is used.

[0002]

2. Description of the Related Art In recent years, digitization of mobile communication has been rapidly advanced. Furthermore, the introduction of a multi-level modulation method is being considered from the viewpoint of effective use of frequencies. Fading is a particular problem when using multilevel modulation.
That is, if the amplitude of the received signal fluctuates greatly due to fading, multilevel modulation is generally difficult. In addition, the phase is changed at extremely high speed due to the influence of random FM noise due to Rayleigh fading, so that synchronous detection is also extremely difficult.

[0003] In recent years, as a method for solving these difficulties, a method of periodically inserting pilot signals and performing synchronous detection using the pilot signals has been proposed by the Ministry of Posts and Telecommunications Communications Research Institute, Mr. Sambe and others.

However, this method has the following problems due to the periodic insertion of pilot signals.

The communication capacity cannot be increased.

It may not work well at low S / N. .

Although digital signal processing is used, the precision and dynamic range of the A / D converter required at this time are extremely demanding.

It has the disadvantage that the amount of signal processing when performing complex interpolation is extremely large.

On the other hand, under Rayleigh fading, it has been known that differential detection is more advantageous than synchronous detection in terms of random FM miscellaneous factors. Therefore, in the demodulation of π / 4 shift DQPSK, which has been adopted in digital cordless TEL and digital car telephone in recent years, differential detection is frequently used. However, when the differential detection is used for multilevel modulation such as 16-level QAM, the following problems occur.

That is, for example, when 16-value QAM is subjected to delay detection, the output of the delay detector takes as many as 40 values as shown in FIG. 11, and cannot be easily judged as it is. Figure 1
It is not easy to determine where the points 1 and 2 of 1 or the points 3 and 4 should be discriminated and judged, and the signal point distance, which should be wider than it should be, seems to be extremely short, which is a low error. The rate could not be demodulated.

[0011]

SUMMARY OF THE INVENTION The present invention was devised to solve the above-mentioned problems, and it is an object of the present invention to provide a demodulation system capable of multilevel modulation and demodulation that is strong against fading and can realize a low error rate. Has a purpose.

[0012]

In order to achieve the above-mentioned object, a first aspect of the present invention is a delay detection means for delay-detecting a multi-value modulated signal, and a multi-value signal delay-detected by the delay detection means. Is a multi-level modulated signal demodulating device comprising: a dividing unit that divides the signal into a plurality of groups; and a demodulating unit that demodulates a signal for each signal in the group divided by this dividing unit. Complex multiplication means for performing multiplicative detection with either the signal input at time lt or the signal input at time lt-kT (T is the reciprocal of the baud rate, k and l are integers), and the complex multiplication means Means and a metric calculation means for calculating a metric for at least a plurality of m signal points under each of a plurality of m determination conditions, and a transition from a plurality of m states at time lt-kT to a plurality of m states at time lt. And by Corresponding to the maximum likelihood path calculating means for calculating the maximum likelihood path on the trellis configured by using the output from the metric calculating means, and the state determined by the maximum likelihood path obtained by the maximum likelihood path calculating means. And a demodulation means for demodulating a value determined in accordance with the determination condition, wherein the third invention is the second invention, in the second invention, having a gain adjusting function corresponding to each state, When the path memory is updated, the gain adjustment function provided in the path leading to that state is taken over, and the internal state of the gain adjustment function for each state is changed according to the value corresponding to that state and the magnitude of the input signal. A fourth aspect of the present invention is a multi-level modulation signal demodulating device for updating, wherein in the second aspect, the metric calculation is based on a deviation from an ideal value given by each of the determination conditions. Distance is a multi-level modulation signal demodulating device is obtained by normalizing with.

[0013]

In the multi-level modulation signal demodulation device of the present invention, the multi-level modulated signal is subjected to delay detection, and the multi-level signal subjected to delay detection is divided into a plurality of groups. The signal is demodulated. Therefore, demodulation with a low error rate becomes possible.

[0014]

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a diagram showing the configuration of a demodulation apparatus according to an embodiment of the present invention.

As shown in the figure, the input signal is delay-detected in the delay detector 101 and then input to the BM (branch metric) calculation circuit 102. After calculating the BM, the data is input to the VA (Viterbi algorithm) calculator 103, and the optimum determination condition is found by the Viterbi algorithm. The delay detection output is delayed by the delay unit 104 for the same time as the time required for the VA calculation and the BM calculation using this optimum determination condition. The received signal is judged by the judging device 105 by the delayed signal and the signal VA-calculated by the VA calculator 103, and the result is outputted as demodulated data.

All of these processes may be performed by digital signal processing. In that case, the received signal is frequency-converted to IF or baseband and then A / D converted.
Frequency conversion to baseband is performed by quadrature demodulation,
A / D conversion of I, Q and 2 signals. These processes are DS
You may perform by P (digital signal processor).

FIG. 2 is a diagram showing the configuration of another embodiment of the present invention. In this embodiment, the BM calculator 202 also calculates a judgment value together with the judgment value based on the output of the delay detector 201, and which judgment condition is judged by the VA calculator 203 is the demodulated data with the highest likelihood. If it is determined, which of the plurality of BM outputs is to be output as the demodulated data is selected and output accordingly.

FIG. 3 is a diagram showing the configuration of still another embodiment of the present invention. The figure shows three states and a part of the transitions between the states. Further, there is shown a method of performing ACS calculation and providing an AGC function for each path. That is,
Gain corresponding to each state is stored in each state,
When calculating the BM, the BM is calculated based on the data corrected with the gain. In addition to the BM calculation, a gain error for obtaining a value suitable for the BM is obtained using the criterion, and a new gain is obtained from the gain in the same state as the current gain. This is done by integration operation or the like in the synthesis circuit.

Next, the operation will be described.

Hereinafter, in order to simplify the explanation, 16-value QA
M will be described as an example.

The differential detection output shown in FIG. 11 can be shown as a superposition of four groups as shown in FIG. That is, in the figure, the L, S, D, and G groups are those. The four groups are shown separately in FIG.
6, FIG. 7, and FIG.

FIG. 9 shows an ideal 16-value Q before differential detection.
The AM modulated wave is shown. How the differential detection output as shown in FIG. 11 is divided into four groups will be described with reference to FIG.

The signal points of the ideal 16-valued QAM wave shown in FIG. 9 are divided into four groups of s, l, g and d as shown in FIG. Assuming that the value of the l group of the p-1th symbol is taken, the differential detection output which is the product of the conjugate complex number of the p-1th symbol input signal and the pth symbol input signal is shown in the L group. You will be able to take either of the following. Similarly, assuming that the received signal of the p-1th symbol belongs to the s, g, or d group, the differential detection outputs take the values of the S, G, and D groups, respectively. That is, the signal after differential detection is L, L depending on which group of signals (lowercase letters) l, s, g, d shown in FIG.
The value of each group of S, G, and D is taken.

Attention is now paid to the L group illustrated in FIG. When there is an input signal of group l at the p-1 symbol,
The differential detection output is the L group, but at this time, among the L group,
Taking the points shown in 1, 2, 3, and 4, the next differential detection output comes to take the S group. That is, if the 1st group is at the (p-1) th symbol, the differential detection output is at points 1 to 4 in the L group of FIG. 5 when the s group is at the pth symbol.

At points 5 to 8 in FIG. 5, the received signal of the p-1th symbol is the l group, and the pth received signal is also the l group.
In the case of a group. The points 9 to 12 and 13 to 16 are the cases where the p-th symbol is the d and g groups, respectively.

Regarding the above description, FIG. 6, FIG. 7 and FIG.
The same applies to the G, D, and S groups shown in FIG. When these are put together, a trellis structure as shown in FIG. 10 is shown. Therefore, this trellis structure can be successfully used to perform low error rate demodulation using differential detection.

This demodulation will be described with reference to FIGS. 10, 5, 6, 7 and 8. A case will be described in which it is assumed that a signal such as the point r shown in FIGS. 5, 6, 7, and 8 is received at the p-th symbol. FIG. 5 shows the determination conditions when it is assumed that the 1st group is received at the (p-1) th symbol. If this is followed, the received signal is most likely to have received point 2 in FIG. Next, it is very likely that you received 11 points,
The third and subsequent points continue at points 3, 15, and 6. Here, from the distance between the point r and the points 2, 11, 3, 15, and 6, the probabilities that the points 2, 11, 3, 15, and 6 are transmitted can be obtained. That is, based on the distance between the point r and the points 2, 11, 15, and 6, s, g, and d are respectively at the p-th symbol under the assumption that the signal of the l-group is transmitted at the p−1-th symbol. , Probability of receiving signals of group l (conditional probability). This is
It is considered that the branch metrics of the branches 1, 2, 4, and 3 shown in FIG.

The branch metrics generated from the G, D, and S groups in FIG. 10 can also be obtained in the same manner from the determination conditions shown in FIGS. 6, 7, and 8.

In the branch metric calculation under each judgment condition, the value from r to the signal point of the S group at the shortest distance is taken as the branch metric reaching S,
Similarly, from r, they are respectively closest to each other.
From the distances to the signal points of the l, d, and g groups, branch metrics reaching the l, d, and g groups can be obtained from the same judgment condition group.

When the branch metric is obtained as described above, ACS calculation is performed based on the branch metric, and the judgment condition can be determined by the Viterbi algorithm, whereby the transmission data can be judged with a low error rate. Moreover, it can be performed while having a strong anti-fading characteristic.

In the above description, 16QAM was targeted, but it is also applicable to other modulation methods such as 32-value and 64-value.

Further, in the above-mentioned branch metric calculation, it is preferable to standardize and calculate the metric based on each judgment condition. Because L group, S
The sizes of the reference levels of the group, the G group, and the D group are completely different from each other, and it is essential to standardize them appropriately.

Further, to improve fading characteristics, AG is used.
C (automatic gain control) is essential, but it is effective to provide this for each pass of the Viterbi algorithm in order to obtain good characteristics. This is to calculate the branch metric after applying different gains to the input signal for each path. This can be realized by providing each state with a gain peculiar to each state, and multiplying the gain and then performing branch metric calculation. In each state, this gain is determined by calculating the difference between the input level and the ideal level determined by each determination condition, and integrating it when calculating the branch metric. This integration is performed over the surviving path, and when the path is updated by the ACS calculation, the integrated value is selected and updated together with the selection.

[0035]

In the multi-level modulation signal demodulation device of the present invention, the multi-level modulated signal is subjected to delay detection, the multi-level signal subjected to delay detection is divided into a plurality of groups, and Since the signal is demodulated for each signal, demodulation with a low error rate becomes possible.

[Brief description of drawings]

FIG. 1 is a diagram showing a configuration of a demodulation device according to an embodiment of the present invention.

FIG. 2 is a diagram showing the configuration of another embodiment of the present invention.

FIG. 3 is a diagram showing a configuration of still another embodiment of the present invention.

FIG. 4 is a diagram in which differential detection outputs divided into L, S, D, and G groups are superimposed.

FIG. 5 is a diagram showing signal points of the L group.

FIG. 6 is a diagram showing signal points of a G group.

FIG. 7 is a diagram showing signal points of a D group.

FIG. 8 is a diagram showing signal points of an S group.

FIG. 9 is a diagram showing an ideal 16-value QAM modulated wave before differential detection.

FIG. 10 is a diagram showing a trellis structure.

FIG. 11 is a diagram showing an output of a delay detector when delay detection is performed on 16-value QAM.

[Explanation of symbols]

 101 ... Delay detector 102 ... BM calculator 103 ... VA calculator 104 ... Delay device 105 ... Judgment device

Claims (4)

[Claims] 1. A differential detection means for differentially detecting a multi-valued modulated signal, a dividing means for dividing the multi-valued signal delay-detected by the differential detection means into a plurality of groups, and a division means for dividing the multi-valued signal. A multilevel modulation signal demodulation device comprising: a demodulation unit that demodulates a signal for each signal in a group. 2. A signal input at time lt and a time lt-
kT (T is the reciprocal of the baud rate, k and l are integers), the complex conjugate means for product detection with the other conjugate complex number, and the complex multiplication means are input and a plurality of m judgment conditions are set. A maximum likelihood on the trellis composed of a metric calculating unit that calculates a metric for at least a plurality of m signal points and a transition from a plurality of m states at time lt-kT to a plurality of m states at time lt. A maximum likelihood path calculating means for calculating a path using an output from the metric calculating means; and a value determined according to a determination condition corresponding to a state defined by the maximum likelihood path calculating means, demodulated And a multi-level modulation signal demodulation device including: 3. A gain adjusting function corresponding to each of the states is provided, and when the path memory is updated, the gain adjusting function provided for the path leading to the state is taken over, and a value and an input signal corresponding to the state. 3. The multi-level modulation signal demodulation device according to claim 2, wherein the internal state of the gain adjusting function of each state is updated according to the magnitude of. 4. The multilevel modulation signal demodulation device according to claim 2, wherein the metric calculation is a deviation from an ideal value given by each of the determination conditions is normalized by a distance between signal points in an ideal state. ..