KR0160187B1 - Cdma receiving apparatus - Google Patents

Abstract

The present invention relates to a receiving apparatus of a communication system using a CDMA method, and comprising a means for multiplying a signal after despreading by a weight, and adaptively weighting a method such that the interference signal component included in the correlated detected signal is minimized. In order to improve the reception performance, the reception signal quasi-synchronously detected by the quasi-synchronous detection circuit 1 is despread by the data channel despreading means 2. The despread signal is multiplied by the weight in the data channel weight increasing means 3 and integrated in the data channel signal integrating means 4. The interfering signal component included in the signal after integration is extracted by the interfering signal component extracting means 8, and the weight control means 9 calculates the weight in the data channel weight transfer means 3 based on the interfering signal component. By controlling the interference component to the minimum.

Description

CDMA receiver

1 is a block diagram of a conventional CDMA system receiving apparatus.

2 is a block diagram of a CDMA system receiving apparatus according to the first embodiment of the present invention.

3 is a diagram showing a transmission signal of a CDMA transmission apparatus.

4 is a diagram showing a reception signal of a CDMA transmission device.

5 is a block diagram of the interference signal component extraction means of the CDMA system receiving apparatus according to the present invention.

Fig. 6 is a block diagram showing a first configuration example of the weight control means of the CDMA system receiving apparatus according to the present invention.

Fig. 7 is a block diagram showing a second configuration example of the weight control means of the CDMA system receiving apparatus according to the present invention.

Fig. 8 is a diagram showing demodulation data of a CDMA system receiving apparatus in the present invention and the conventional example.

9 is a block diagram of a CDMA system receiving apparatus according to a second embodiment of the present invention.

Fig. 10 is a block diagram of interference signal component extracting means of the CDMA system receiving apparatus according to the second and third embodiments of the present invention.

11 is a block diagram of a CDMA system receiving apparatus according to a third embodiment of the present invention.

* Explanation of symbols for the main parts of the drawings

1 quasi-synchronous detection circuit 2 data channel despreading means

3: data channel weight integrating means 4: data channel signal integrating means

5: pilot channel despreading means 6: pilot channel signal integrating means

7 carrier phase offset correction means 8 interference signal component extraction means

9 weight control means 10 received signal

11: demodulation data 12: pilot channel weight transfer means

13 pilot channel interference signal component extraction means 14 pilot channel weight control means

The present invention relates to a receiving apparatus of a communication system using the CDMA system.

In recent years, the demand for land mobile communication such as automobiles and mobile phones has increased significantly, and the frequency effective use technology for securing more subscriber capacity on a limited frequency band has become important. As one of the multiple access schemes for frequency utilization, the code division multiple access (CDMA) scheme has been noted. The CDMA method is a multiple access method using spectrum spread communication technology, which is less susceptible to multipath deformation, and a diversity effect can also be expected by a RAKE receiver that synthesizes the multipath components to the maximum ratio. A land mobile communication system using the CDMA method is shown in, for example, US Patent No. 4,901,307.

US Patent No. 4,901,307 discloses a CDMA communication technique in which a plurality of users communicate via a base station. It is well known in the CDMA system that the entire base station transmits a pilot signal having the same frequency and spreading code. In this US patent, a pilot signal is used to obtain initial synchronization in the mobile unit. The pilot signal is also used as the reference for the carrier phase offset, the carrier frequency offset, and the reference time of the frame transmitted from the base station.

The configuration of a conventional receiver in the method of transmitting a pilot signal as shown in the specification of US Patent No. 4,901,307 will be described below.

1 is a block diagram showing the configuration of the above-described conventional receiving apparatus. 1, reference numeral 1 denotes a quasi-synchronous detection circuit for quasi-synchronous detection of a received radio frequency signal, reference numeral 2 denotes data channel despreading means for despreading using a spreading code assigned to the data channel, 4) is data channel signal integration means for integrating the despread data channel signal. (5) is a pilot channel despreading means for despreading using a spreading code assigned to the pilot channel, and (6) is a pilot channel signal integrating means for integrating the despread pilot channel signal. Numeral 7 denotes carrier phase offset correction means for correcting a carrier phase offset included in the data channel signal. (10) The received signal and (11) are demodulated data.

Next, the operation of the conventional example will be described with reference to FIG. The received signal 10 is quasi-synchronously detected by the quasi-synchronous detection circuit 1 and becomes a baseband signal. The baseband signal is despread by the data channel despreading means 2. At this time, despreading is performed using the spreading sequence allocated to the data channel. The despread signal is integrated in the data channel signal integrating means 4. By this despreading and integrating operation, the signal of the data channel allocated can be extracted. This integrated signal includes the difference between the carrier phase of the reception signal 10 and the carrier phase of the local oscillator.

On the other hand, the despreading is performed in the pilot channel despreading means 50 with respect to the baseband signal of the output of the quasi-synchronous detection circuit 1. In this case, despreading is performed using the spreading sequence assigned to the pilot channel. The despread signal is integrated in the pilot channel signal integrating means 6. Since the signal already known on the receiving side is inserted in the pilot channel, the carrier phase of the reception signal 10 and the carrier phase of the local oscillator are inserted. You can tell the difference between.

In the carrier phase offset correction means, the demodulated data 11 in which the carrier phase offset is corrected can be obtained using the integration result of the data channel signal and the pilot channel signal obtained as described above.

However, in the conventional receiver described above, the correlation level with other channel components is increased due to the increase in the number of multi-users or the multipath deformation, and the interference components included in the correlated detected data channel signal or pilot channel signal are increased. As a result, errors occur in the demodulated data and communication quality deteriorates. In addition, even when the narrowband interference signal is included in the received signal, the interference component included in the correlated detected data channel signal and the pilot channel signal increases, leading to deterioration of communication quality.

An object of the present invention is to provide a CDMA system receiving apparatus capable of reducing the error of demodulated data and improving the reception quality, in order to solve the above conventional problem.

In order to achieve the above object, the present invention provides a means for multiplying a signal after despreading, and adaptively controls a method of multiplying a weight so that interference signal components included in the correlated detected signal are minimized. It is possible to reduce the signal component.

By this structure, the error of demodulation data can be reduced and the communication quality can be improved. In addition, it is also possible to increase the number of available users while maintaining the communication quality at the same level, thereby realizing effective use of frequency resources.

Best Mode for Carrying Out the Invention Embodiments of the present invention will be described below with reference to the accompanying drawings.

Example 1

2 is a block diagram showing the configuration of the first embodiment of the present invention. Reference numerals 1, 2, 4, 5, 6, 7, 10, and 11 in FIG. 2 are the same as those shown in FIG. Omit. In Fig. 2, reference numeral 3 denotes a data channel weight gain means for multiplying the weight of the despread data channel signal, and reference numeral 8 denotes a data channel weight gain means based on the interference signal component from the correlated detected signal component. Weight control means for controlling the weight in 3).

The operation of the CDMA system receiving apparatus configured as described above will be described. When a base station transmits a signal as shown in FIG. 3, the receiving device receives the received signal 10 shown in FIG. The received signal 10 is quasi-synchronously detected by the quasi-synchronous detection circuit 1 and becomes a baseband signal. The base channel signal is despread by the data channel despreading means 2. Signals subjected to despreading in the data channel despreading means 2, in addition to the signal components of the assigned spreading channel, are delayed signals or signal signals of spreading channel signals or multipath propagation used by other users. Interference signal components such as wave signal components are also included. The weight in the data channel weight accommodating means 3 is determined so that the above-mentioned interference signal component is reduced to the maximum by the integration operation in the data channel signal integrating means 4. The output signal of the data channel signal integrating means 4 contains a component of the correlation detected data channel signal and an interference component detected by the correlation. The interference signal component extracting means 8 extracts a correlation detected interference signal component. The extracted signal includes information on spreading codes used by other users and information on multipath propagation path conditions.

An example of the configuration of the interference signal component extracting means is shown in FIG. In Fig. 5, reference numeral 15 denotes data determination means for determining an output signal of the data channel signal integrating means 4, 16 denotes an output signal of the data channel signal integrating means 4, and 17 denotes a data determination. The signal after the determination by the means 15, 18 is the extracted interference signal component.

The signal 16 includes the signal component x (t) of the assigned channel and the interference component e (t) by different channels or multipaths, and can be expressed as follows.

In the data determination means 15, the soft decision signal 16 is hard-determined and the discrete signal value of the assigned channel is obtained. When this determination is made correctly, the signal 17 becomes equal to x (t). Therefore, the interference signal component is obtained as follows.

Since the carrier phase offset is included in the output signal of the data channel signal integrating means 4, the carrier phase offset information from the pilot channel signal integration 6 is required when the above determination is made.

In the weight control means 9, the optimum value of the weight in the data channel weight transfer means 3 is obtained using the interference signal component thus obtained.

As a reference for obtaining the optimum value, the case where the mean value of the squares of the interference signal components becomes the minimum will be described. In the output signal of the data channel despreading means 2, the signal of the chip rate corresponding to the data at time nT (T: transmission interval of data) is described as follows.

Where yi (n), (i = 1, ..., N) denotes a signal of the chip rate of the output signal of the data channel despreading means 2, and d (n) denotes data of the allocated channel, ei (n), (i = 1, ..., N) are interference signal components, and N is a spreading ratio. In the data channel weight transfer means 3, a signal in which the weights Wi (n), (i = 1, ..., N) are multiplied with respect to signals of each chip rate

Becomes The output signal of the data channel signal integrating means 4 is

Becomes Here, the error signal given by the following equation is defined.

If the mean value of the error signal is d (n), ei (n), wi (n) (i = 1, ..., N) are independent of each other, and the mean value of d (n) is 0,

Becomes Where E [] denotes an average value. The above formula becomes a quadratic curve on an N-dimensional space using Wi (n) (i = 1, ..., N) as a variable. In the weight control means 9, the weight Wi (n) (i = 1, ..., N) at which Equation 7 is minimized is obtained. Hereinafter, an example of a method of obtaining the weight Wi (n) (i = 1, ..., N) is shown.

6 shows an example of the configuration of the weight control means 6. In Fig. 6, reference numeral 19 denotes a correlation function measuring means for obtaining a correlation function, and numeral 20 denotes a weight calculation means. Here, the operation principle of the structural example of FIG. 6 is demonstrated. Since the square mean error of equation (7) always takes zero or a positive value, the weight Wi (n) (i = 1, ..., N) when this value is minimum satisfies the following conditions.

Calculation of the above formula,

Becomes Considering the case where Wi (n) (i = 1, ..., N) does not depend on time n,

Is expressed as a matrix,

Becomes here,

Set to. From equation ⑪

The weight Wi (n) (i = 1, ..., N) is obtained by the above equation. Here, the case where the weight Wi (n) (i = 1, ..., N) does not depend on n is obtained. However, when the weight depends on n, for example, the weight changes periodically. You can get it. As described above, by calculating the correlation function of the interference signal in the correlation function measuring means 19 and the inverse matrix in the weight calculation means 20, the weight of the weight in the data channel weight gain means 3 is calculated. The optimal value is found.

7 shows an example of the configuration of the weight control means 6. In Fig. 7, reference numeral 21 denotes an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and reference numeral 22 denotes a weight updating means for updating the weight based on the obtained gradient vector. As a method of calculating the gradient vector and realizing the weight updating means, there are a steepest descent method, LMS method, learning identification method, and RLS method, which are known as algorithms of adaptive filters. The algorithm of the adaptive filter is described in, for example, S. Haykin's / Takerube Station “Introduction to Adaptive Filter”, Hyundai Engineering (1987). These algorithms initially set the weight to an appropriate value and sequentially converge on the optimum value.

As described above, according to the first embodiment, by minimizing the interference signal in the data channel, as shown in FIG. 8, the error of the demodulated data can be reduced.

Example 2

9 is a block diagram showing the configuration of the second embodiment of the present invention. Reference numerals 1, 2, 4, 5, 6, 7, 10, and 11 in FIG. 9 are the same as those shown in FIG. Omit. In Fig. 9, reference numeral 12 denotes a pilot channel weight estimating means for multiplying a weight of a despread pilot channel signal, and reference numeral 13 denotes a pilot for extracting an interference signal component of a pilot channel from a correlated detected pilot channel signal. Channel interference signal component extraction means. Reference numeral 14 denotes pilot channel weight control means for controlling the weight in the pilot channel weight gain means 12 based on the extracted interference channel component of the pilot channel.

The operation of the CDMA system receiving apparatus configured as described above will be described. When a base station transmits a signal as shown in FIG. 3, the receiving device receives the received signal 10 shown in FIG. The received signal 10 is quasi-synchronously detected by the quasi-synchronous detection circuit 1 and becomes a baseband signal. The base channel signal is despread by the data channel despreading means 2. At this time, despreading is performed using a spreading sequence assigned to the data channel. The despread signal is integrated in the data channel signal integrating means 4. The signal of the data channel allocated by the despreading operation and the integral operation can be extracted. This integrated signal includes the difference between the carrier phase of the reception signal 10 and the carrier phase of the local oscillator.

On the other hand, the pilot channel despreading means 5 despreads the baseband signal of the output of the quasi-synchronous detection circuit 1. In the signal subjected to despreading in the pilot channel despreading means 5, in addition to the signal components of the pilot channel, signal components of spreading channels other than the pilot channel, signals of delayed waves or preceding waves by multipath propagation Interference signal components such as components are also included. The weight in the pilot channel weight accommodating means 12 is determined so that the interference signal component is reduced to the maximum by the integration operation in the pilot channel signal integrating means 6. This determination method applies the same idea to the pilot channel as the method of minimizing the interference signal component in the first embodiment, so that the data d (n) is replaced only with the pilot channel signal p (n). do.

The output signal of the pilot channel signal integrating means 6 includes the components of the correlation-detected pilot channel signals and the interference signal components. The pilot channel interference signal component extracting means 13 extracts an interference signal component. As the extraction means, for example, there is a configuration shown in FIG. In Fig. 10, reference numeral 23 denotes smoothing means for smoothing the output signal of the pilot channel signal integrating means 4, 24 denotes an output signal of the pilot channel signal integrating means 4, and 25 denotes a pilot after smoothing. Channel signal 26 denotes the extracted interference signal component. The signal 24yp (t) includes the signal component xp (t) of the pilot channel and the interference signal component ep (t) by the channel or multipath between the pilot channels and can be expressed as follows.

In the smoothing means 23, smoothing is performed on the signal 24 given in the above equation. In the pilot channel, when the same data already known on the receiving side is inserted, xp (t) is a signal accompanied by a change in the carrier frequency offset degree. On the other hand, since the interference component ep (t) is a relatively wideband signal, it is removed by the smoothing means 23, and the signal 25 becomes almost equal to xp (t). Therefore, the interference signal component 26 is obtained as follows.

As another extraction means, an example of the configuration of the interference signal component extraction means in the first embodiment may be applied to the pilot channel. Since the pilot channel data is already known, when the carrier phase offset and amplitude of the pilot channel are correctly estimated, the interference signal component can always be detected accurately.

The extracted interference signal component includes information on spreading codes of channels other than the pilot channel and information on the multipath propagation path state. The pilot channel weight control means 14 uses these pieces of information to find the optimum value of the weight in the pilot channel weight transfer means 2. The method of obtaining the optimum value applies the method of obtaining the optimum value of the weight to the pilot channel with respect to the data channel in the first embodiment.

As described above, according to the second embodiment, by minimizing the interference signal component in the pilot channel, the estimation precision of the carrier phase offset can be increased, and the error of demodulated data can be reduced. In addition, while maintaining the accuracy of the carrier phase offset, the transmission power of the pilot channel can be reduced, the power consumption can be reduced, and the interference to each user can be reduced.

Example 3

11 is a block diagram showing the construction of the third embodiment of the present invention. Reference numerals 1 to 14 in FIG. 11 are the same as those shown in FIG. 2 and FIG. Since the structure of this embodiment combines said 1st embodiment and a 2nd embodiment, detailed description about a structure is abbreviate | omitted.

The output signals of the data channel signal integrating means 4 and the pilot channel signal integrating means 6, as disclosed in the first and second embodiments, respectively, are interference components of the data channel and the pilot channel. Is minimized, and the error of demodulated data obtained from these signals can be reduced.

As described above, the present invention provides a means for multiplying the weight of a signal after despreading, and adaptively controls a method of weight multiplying so that the interference signal component included in the correlated detected signal is minimized, thereby improving reception quality. It is possible to realize an excellent CDMA method receiving device.

Claims (41)

A reception apparatus of a communication system using a CDMA method, comprising: a quasi-synchronous detection circuit for quasi-synchronous detection of a received signal, a data channel despreading means for despreading the quasi-synchronous detection signal by a spreading code assigned to the data channel; A data channel weight gain means for multiplying the despread data channel signal by the weight, a data channel signal integration means for integrating the data channel signal multiplied by the weight, and an output signal of the quasi-synchronous detection circuit to a spreading code assigned to the pilot channel. Carrier channel despreading means for despreading by means, pilot channel signal integrating means for integrating the despread pilot channel signal, output signal of the data channel signal integrating means and output signal of the pilot channel signal integrating means, Carrier phase offset correction means for generating a data channel signal having a phase offset corrected; And an interference signal component extraction means for extracting an interference signal component from an output signal, and a weight control means for determining the weight of said data channel weight transfer means based on the extracted interference signal component. 2. The interference signal component extracting means according to claim 1, wherein the interference signal component extracting means hardly determines a soft decision signal output by the data channel signal integrating means, and obtains data determination means for obtaining a discrete signal value of the assigned channel, and the data channel signal integrating means outputs it. And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the soft decision value signal. 2. The apparatus according to claim 1, wherein the weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the interference signal component extracting means, and weight calculation means for calculating an inverse matrix of a signal output from the correlation function measuring means. CDMA system receiving apparatus comprising a. 3. The apparatus according to claim 2, wherein the weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the interference signal component extracting means, and weight calculation means for calculating an inverse matrix of a signal output from the correlation function measuring means; CDMA system receiving apparatus characterized in that provided. The weight control means includes: a mean square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus characterized in that. 3. The weight control means according to claim 2, further comprising: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus characterized in that. A reception apparatus of a communication system using a CDMA method, comprising: a quasi-synchronous detection circuit for quasi-synchronous detection of a received signal, a data channel despreading means for despreading the quasi-synchronous detection signal by a spreading code assigned to the data channel; A data channel signal integrating means for integrating the despread data channel signal, a pilot channel despreading means for despreading the output signal of the quasi-synchronous detection circuit by a spreading code assigned to the pilot channel, and a pilot channel signal despreading A pilot channel weight multiplication means for multiplying the weight, a pilot channel signal integration means for integrating the pilot channel signal multiplied by the weight, an output signal of the data channel signal integration means, and an output signal of the pilot channel signal integration means; Carrier phase offset correction means for generating a data channel signal having a phase offset corrected; A pilot channel signal component extracting means for extracting an interference signal component in a pilot channel from an output signal and a pilot channel weight control means for determining the weight of the pilot channel weight gaining means based on the interference signal component in a pilot channel; CDMA system receiving apparatus characterized by having. 8. The pilot channel interference signal component extracting means comprises: data determination means for hardly determining a soft decision signal output by the pilot channel signal integrating means, and for calculating discrete signal values of the assigned channel; And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the output soft decision value signal. 8. The pilot channel interference signal component extracting means includes: smoothing means for smoothing the signal output from the pilot channel signal integrating means, and a signal output from the smoothing means from the signal output from the pilot channel signal integrating means; And a calculating means for outputting an interference signal component. 8. The apparatus of claim 7, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 9. The apparatus of claim 8, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 10. The apparatus of claim 9, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 8. The weight updating means according to claim 7, wherein the pilot channel weight control means updates weights based on a mean square error function gradient calculating means for obtaining a gradient vector of mean square error and a mean vector error function gradient calculating means. CDMA system receiving apparatus comprising a. 9. The apparatus according to claim 8, wherein the pilot channel weight control means includes: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 10. The apparatus according to claim 9, wherein the pilot channel weight control means comprises: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 2. The apparatus according to claim 1, further comprising: pilot channel weight gain means for multiplying a despread pilot channel signal by a weight, pilot channel interference signal component extraction means for extracting an interference signal component in a pilot channel, and an interference signal in a pilot channel And a pilot channel weight control means for determining a weight of said pilot channel weight gain means based on a component. 17. The interference signal component extracting means according to claim 16, wherein the interference signal component extracting means hardly determines a soft decision signal outputted by the data channel signal integrating means, obtains discrete signal values of the assigned channel, and outputs the data channel signal integrating means. And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the soft decision value signal. 17. The apparatus according to claim 16, wherein the weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the interference signal component extracting means, and weight calculation means for calculating an inverse matrix of the signal output from the correlation function measuring means; CDMA system receiving apparatus comprising a. 18. The apparatus of claim 17, wherein the weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the interference signal component extracting means, and weight calculation means for calculating an inverse matrix of a signal output from the correlation function measuring means; CDMA system receiving apparatus characterized in that provided. 17. The apparatus according to claim 16, wherein the weight control means includes a mean square error function gradient calculating means for obtaining a gradient vector of the mean square error and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus characterized in that. 18. The apparatus according to claim 17, wherein the weight control means comprises: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus characterized in that. 17. The method according to claim 16, wherein the pilot channel interference signal component extracting means comprises: data determination means for hardly determining a soft decision signal output by the pilot channel signal integrating means and obtaining discrete signal values of the assigned channel; And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the output soft decision value signal. 18. The method according to claim 17, wherein the pilot channel interference signal component extracting means comprises: data determination means for hardly determining a soft decision signal output by the pilot channel signal integrating means and obtaining discrete signal values of the assigned channel; And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the output soft decision signal. 20. The method of claim 19, wherein the pilot channel interference signal component extracting means comprises: data determination means for hardly determining a soft decision signal output from the pilot channel signal integrating means, and for obtaining discrete signal values of the assigned channel; And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the output soft decision value signal. 22. The method according to claim 21, wherein the pilot channel interference signal component extracting means comprises: data determination means for hardly determining a soft decision signal output from the pilot channel signal integrating means and obtaining discrete signal values of the assigned channel; And a computing means for outputting an interference signal component by subtracting the discrete signal outputted by the data determining means from the output soft decision value signal. 17. The method according to claim 16, wherein the pilot channel interference signal component extracting means comprises: smoothing means for smoothing the signal output from the pilot channel signal integrating means, and a signal output from the smoothing means from the signal output from the pilot channel signal integrating means; And a calculating means for outputting an interference signal component. 18. The apparatus according to claim 17, wherein the pilot channel interference signal component extracting means includes: smoothing means for smoothing the signal output from the pilot channel signal integrating means, and a signal output from the smoothing means from the signal output from the pilot channel signal integrating means; And a calculating means for outputting an interference signal component. The pilot channel interference signal component extracting means includes: smoothing means for smoothing the signal output from the pilot channel signal integrating means, and a signal output from the smoothing means from the signal output from the pilot channel signal integrating means; And a calculating means for outputting an interference signal component. The pilot channel interference signal component extracting means includes: smoothing means for smoothing the signal output from the pilot channel signal integrating means, and a signal output from the smoothing means from the signal output from the pilot channel signal integrating means; And a calculating means for outputting an interference signal component. 17. The apparatus of claim 16, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 18. The apparatus of claim 17, wherein the pilot channel weight control means comprises: correlation function measurement means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extraction means, and an inverse matrix of the signal output from the correlation function measurement means; A CDMA system receiving apparatus comprising weight calculation means. 20. The apparatus of claim 19, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and calculating an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 22. The apparatus of claim 21, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 27. The apparatus of claim 25, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and calculating an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 30. The apparatus of claim 29, wherein the pilot channel weight control means comprises: correlation function measuring means for calculating a correlation function of an interference signal output from the pilot channel interference signal component extracting means, and an inverse matrix of a signal output from the correlation function measuring means; A CDMA system receiving apparatus comprising weight calculation means. 17. The apparatus according to claim 16, wherein the pilot channel weight control means comprises: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 18. The apparatus according to claim 17, wherein the pilot channel weight control means includes: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 20. The apparatus according to claim 19, wherein the pilot channel weight control means includes: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 22. The apparatus according to claim 21, wherein the pilot channel weight control means comprises: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 27. The apparatus according to claim 25, wherein the pilot channel weight control means includes: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a. 30. The apparatus according to claim 29, wherein the pilot channel weight control means comprises: an average square error function gradient calculating means for obtaining a gradient vector of the mean square error, and a weight updating means for updating the weight based on the gradient vector obtained by the mean square error function gradient calculating means. CDMA system receiving apparatus comprising a.