KR20030083949A - Rake receiver and signal processing method of the same - Google Patents

Abstract

PURPOSE: A rake receiver is provided to multiply a weight vector for maximizing a signal to interference noise ratio in an output end of the rake receiver, thereby receiving a desired signal by excluding an influence of other interference signal. CONSTITUTION: Fingers extract signals of each path transmitted from a transmission end. A finger weight calculator calculates a weight vector to be multiplied to output ends of each finger in order to maximize a signal to interference noise ratio. A weight applier multiplies the calculated weight vector to the output ends of the fingers. A DLL(Delay Locked Loop) maintains timing assigned to the signals received in the fingers, and adjusts synchronization. The finger weight calculator calculates the weight vector by using each autocorrelation matrix of signals before and after despreading.

Description

Rake receiver and signal processing method of the same

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a rake receiver and a signal processing method thereof, and more particularly, to a rake receiver and a signal applied to reduce a multi-path signal of a desired user signal in a CDMA system and to efficiently receive the signal. It relates to a signal processing method.

A code division multiple access (CDMA) system uses a spread spectrum communication system, and communication is performed as follows.

In other words, the communication apparatus on the transmission side first modulates the digitized voice data or image data by a digital modulation method such as a PSK modulation method. Next, the modulated transmission data is converted into a broadband baseband signal using a spreading code such as a pseudo noise code (PN code), and the spread transmission signal is converted into a radio frequency signal. Send. On the other hand, the communication apparatus on the receiving side first performs spectrum despreading on the received radio frequency signal using the same code as the spreading code used in the communication apparatus on the transmitting side. The received signal after the despreading is digitally demodulated by a digital demodulation method such as a PSK demodulation method to reproduce received data.

In this kind of wireless communication system, a rake reception method is adopted as one of the multi-path countermeasures. In other words, in the wireless communication system, if the radio wave transmitted from the transmitting side device directly reaches the receiving side device, the radio wave may be reflected by the building or the mountain, and thus, one radio wave passes through a plurality of paths. When reaching the receiving device with a different delay time, waveform distortion occurs. This phenomenon is called multi-path.

In the spectrum communication method, it is possible to separate a multipath radio signal having a delay time difference received from one antenna in units of one spread code length (one chip length). Therefore, a multipath signal is input to a plurality of demodulators, spectral despreading is performed by spreading codes corresponding to paths in each of these demodulators, and the received data after symbol spreading of the received signals after despreading of a plurality of paths is received. A reception method for reproducing a signal is adopted, which is called a rake reception method.

1 is a block diagram schematically showing the configuration of a conventional CDMA system.

Most commercial code division multiple access (CDMA) systems currently employ a single user signal detection method using a rake receiver (2) consisting of a finger (1) or the like to reduce the multipath as shown in FIG. Because of this, signals from other users in the same system and from different paths are treated as interference noise. Therefore, if the number of other users sharing the same frequency is increased, the interference caused by the multiple access interference noise and the multipath signals is increased to increase the bit error rate of the received signal, thereby degrading the performance of the system. Therefore, the current CDMA system has maintained the performance of the system above a certain level by limiting the number of users belonging to the base station.

In addition, since future IMT-2000 (International Mobile Telecommunication-2000) needs to provide a multimedia service such as video service, the bit error rate of the received signal should be further reduced. It is expected to be more limited.

Recently, research on interference cancellation to improve the performance of the system by reducing the multi-access interference by other users has been actively conducted. Among them, NTT, GBT, etc., propose a multi-user signal detection method as a standard of the IMT-2000 system. The multi-user signal detection method estimates and reproduces a signal from another user who has been treated as interference noise in the single-user signal detection method, and removes it from the received signal, thereby reducing the multiple access interference to improve the capacity and performance of the system.

However, since the complexity increases exponentially with the number of multiple users, there are many difficulties in the actual implementation.

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and in a rake receiver of a CDMA system, each finger is multiplied by a weight vector maximizing the signal-to-interference noise ratio at the output of the rake receiver to multiply the desired signal by another interference signal. It is an object of the present invention to provide a rake receiver and a signal processing method thereof capable of receiving and excluding effects.

1 is a block diagram schematically showing the configuration of a conventional CDMA system.

2 is a diagram showing the structure of a WCDMA system channel for applying the present invention;

3 is a block diagram showing a configuration of a WCDMA system employing a rake receiver according to an embodiment of the present invention.

4 is a block diagram showing a configuration of a WCDMA system employing a rake receiver according to another embodiment of the present invention.

<Explanation of symbols for the main parts of the drawings>

200: dedicated physical channel (DPCH) 205: slot

210: dedicated physical data channel (DPDCH) 212: data

220: dedicated physical control channel (DPCCH) 222: pilot

224: Frame Merge Information (TFCI) 226: Feedback Information (FBI)

228 power control bit (TPC)

300: rake receiver 310: finger (finger)

312: delayed synchronization loop (DLL) 314: dedicated physical channel descrambler

316: buffer 318: dedicated physical control channel despreader

320: weight application unit 322: dedicated physical control channel summer

324: dedicated physical data channel despreader 326: dedicated physical data channel adder

330, 430: finger weight calculation unit 340: matching filter (Rx filter)

350: searcher

In order to achieve the above object, the rake receiver according to the present invention calculates a finger for extracting a signal of each path transmitted from a transmitter, and a weight vector to be multiplied to the output of each finger to maximize a signal-to-interference noise ratio. And a weight application unit for multiplying an output terminal of the finger by a weight vector calculated by the finger weight calculator.

In addition, the finger is characterized in that it comprises a delay synchronization loop for maintaining and synchronizing the timing assigned to the received signal.

The finger may further include a dedicated physical channel descrambler and a dedicated physical control channel despreader.

The weight application unit may further include a dedicated physical data channel despreader, a despreaded dedicated physical control channel adder, and a despreaded dedicated physical data channel adder.

The finger weight calculation unit may calculate a weight vector using autocorrelation matrices of a signal before despreading and a signal after despreading of the finger.

The finger weight calculation unit may calculate a weight vector by using an autocorrelation matrix having only a desired signal component using only the signal after despreading by the finger.

The signal processing method of the rake receiver according to the present invention comprises the steps of: assigning a path having a signal strength of more than a certain level to each finger; Despreading a signal received at each finger; Calculating a weight vector to multiply the output signal of each finger by inputting a signal after despreading and a signal before despreading at each finger into a finger weight calculation unit at the same time; Multiplying the weight vector calculated by the finger weight calculator with an output terminal of the finger; Characterized in that the included.

In addition, another signal processing method of the rake receiver according to the present invention, the step of assigning a path having a signal strength of more than a certain level to each finger; Despreading a signal received at each finger; Calculating a weight vector for multiplying the output signal of each finger by inputting a signal after despreading at each finger to a finger weight calculator to multiply the output terminal of each finger; And multiplying the weight vector calculated by the finger weight calculator with the output terminal of the finger.

According to the present invention, it is possible to maximize the signal-to-interference noise ratio by eliminating the influence of the interference signal and receiving the desired signal more efficiently, and the bit error rate at the same signal-to-noise ratio as compared with the conventional system. Since it can be reduced, there is an advantage that can contribute to the improvement of communication quality.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

2 is a diagram showing the structure of a WCDMA system channel to which the present invention is applied.

Referring to FIG. 2, the structure of a WCDMA system channel to which the present invention is applied is as follows.

Dedicated Physical Channel (DPCH) 200 of the reverse channel from the terminal to the base station is composed of 15 slots (0 to 14) 205 of 10ms in length, each of the slots 205 Is composed of a Dedicated Physical Data Channel (DPDCH) 210 and a Dedicated Physical Control Channel (DPCCH) 220.

In this case, the DPCCH 220 may include pilot 222 symbols for estimating channel information, spreading factor (SF) information of a reverse channel, and the like. A power control bit including a transport format combination indicator (224), a feedback signal (FBI: feed back information) 226 which is a feedback signal carrying information for transmit diversity and the like, and power control information (TPC: Transmit Power Control) 228, etc., and the DPDCH 210 is a channel on which actual user data 212 is carried.

In addition, the DPDCH 220 is a portion to which the actual user information is mapped, and user information and control information transmitted to the physical layer using different transport channels are mapped to the DPDCH 210 portion of the DPCH 200 so that the mobile station can be mapped. Is sent to.

3 is a block diagram showing the configuration of a WCDMA system employing a rake receiver according to an embodiment of the present invention.

Referring to Fig. 3, the configuration of a WCDMA system employing a rake receiver according to the present invention will be described.

However, although the present invention is constructed based on a wideband code division multiple access (WCDMA) system, the present invention can be applied to a general CDMA system as it is.

The WCDMA system employing the rake receiver according to the present invention includes a matched filter (Rx filter) 340, a searcher 350, a rake receiver 300 and the like.

The searcher 350 descrambling and dispreading the signal transmitted through the scrambling and spreading at the transmitting end, and then grasps the time points at which the largest value among the received signals is found for each time period, and then rakes the receiving end. The number of the fingers 310 in the receiver 300 finds the points and assigns the points to each finger 310.

In addition, the rake receiver 300 is a delay lock loop (312), a dedicated physical channel descrambler (314), dedicated physical control to maintain and synchronize the assigned timing (timing) A finger 310 including a channel despreader 318; A finger weight calculator (330) for calculating a weight vector to be multiplied by the output terminal of each finger (310) in order to maximize the signal-to-interference noise ratio at the output terminal of the rake receiver (300); A dedicated physical data channel despreader (324), a DPCCH adder (322) to add despread DPCCH, and a DPDCH adder (326) to add despread DPDCH; It is configured to include a weight applying unit 320 to multiply the output terminal of (310).

In the present invention, a rake receiver 300 having N fingers 310 is considered.

In the present invention, assuming a system using N fingers 310 in a conventional code division multiple access system, the output signal of each finger 310 is multiplied by an appropriate weight vector to exclude a desired signal from the influence of other interference signals. To receive it.

Here, the weight vector calculated by the finger weight calculator 330 is obtained as follows.

A signal vector consisting of a vector of signals received from each antenna before despreading, that is, despreading using a code known in advance, is called x In addition, a signal vector consisting of vectors of signals after despreading by a code previously known at each antenna is called y .

Where the autocorrelation matrix of the vector x And the autocorrelation matrix of the vector y In this equation, the weight vector, w , of the complex gain to be multiplied by the output of each finger is obtained as the generalized eigenvalue problem as follows.

A more detailed description of the process from which Equation 1 is derived is as follows.

If the communication system aims to maximize the desired signal-to-interference and noise ratio, then the NDMA finger-division multiple access (CDMA) system has the same objective.

In the code division multiple access system to multiply the output of each finger by the appropriate weight to receive the desired signal more efficiently, the signal-to-interference noise ratio at the output of the combiner is multiplied by the output of each finger. The weight vector to be multiplied by the output of each finger to be maximized can be obtained as follows.

In this equation, s [n] represents a signal vector of a desired signal source and a signal vector including u [n] dms interference and noise components.

In order to maximize the signal-to-interference noise ratio at the output of the multiplier by multiplying the output weight of each finger by the calculated output and multiplying the output weight of each finger, the weight vector to be multiplied to the output of each finger as shown above. The dot product of the signal vector of the desired signal source is divided by the dot product of the weight vector and the signal vector of the interference and noise signal source.

This is because this is the signal to interference noise ratio at the output of the summer.

Equation 2 can be rewritten as follows.

here Denotes the autocorrelation matrix of the signal vector of the desired signal source Denotes the autocorrelation matrix of the interference and noise component signal vectors, respectively.

The optimal weight vector from Equation 3 becomes a problem of obtaining an eigenvector corresponding to the maximum eigenvalue of two autocorrelation matrices represented by R _ss and R _uu as follows.

here max represents the maximum eigenvalue and can be rewritten as

In other words, when the maximum eigenvalue given in Equation 5 is obtained, it maximizes the signal-to-interference noise ratio, and the weight vector to obtain the eigenvector corresponding to the maximum eigenvalue is multiplied by the output of each finger that maximizes the signal-to-interference noise ratio To get.

Since it is not easy to separate the signal vector s [n] from the interference and noise vector u [n], a method of obtaining a signal-to-interference noise ratio may be different as follows.

That is, the signal vector x [l] before despreading the signal-to-interference noise ratio with the channelization code using the property of the CDMA system and the signal vector y [n] after the despreading Get it with you.

In this case, the autocorrelation matrix of the signal vector before despreading and the autocorrelation matrix of the signal vector after despreading can be written as follows.

From equation (6) Wow And a function to find the signal-to-interference noise ratio If you rewrite it as Maximizing the signal becomes a problem of maximizing the signal-to-interference noise ratio.

here Because of If the problem of maximizing is G> 1 This is the same problem as maximizing. In a CDMA system, this property is always satisfied because G> 1.

As a result, the problem of finding the weight vector to be multiplied by the output of each finger that maximizes the signal-to-interference noise ratio can be changed in a realistic way.

Therefore, the generalized eigenvalue problem of Equation 8 can be rewritten as follows.

In addition, the weight vector applied to the present invention can be obtained by the following method in addition to the above method.

In the following description, assuming a WCDMA system, this is applicable to a CDMA system.

That is, the autocorrelation matrix including only the desired signal component and the autocorrelation with only the interference signal component exist through the signal vector v having only the desired signal component and the signal vector u having only the interference signal component by decomposing the signal component and the interference signal component. Constructing a Matrix A weight vector may be calculated by constructing the following determinant.

This is to separate the interference signal component and the desired signal component. In the despread DPCCH signal, since the desired signal component is already despread with the code of the desired signal, the despread signal with the corresponding code is summed in the processing gain period to obtain the desired signal. By subtracting the estimated value of the signal source thus estimated from the signal before despreading, the component of the interference signal source can be obtained.

Therefore, by estimating the desired signal component vector and the interference signal component vector and obtaining the autocorrelation matrix, the autocorrelation matrix of the desired signal source and the autocorrelation matrix of the interference signal component can be obtained. The weight vector to be multiplied by the output can be obtained.

Of this determinant Wow Are each of Equation 3 Wow This can be said. This way just Wow Since only the method of obtaining is different, it can be said that the entire system can be used as it is except for estimating two matrices.

Therefore, the method of obtaining the autocorrelation matrix of the desired signal source and the method of obtaining the autocorrelation matrix of the interference signal components are different from each other.

Another way to find the weight vector to multiply each finger is to consider.

4 is a block diagram showing the configuration of a WCDMA system employing a rake receiver according to another embodiment of the present invention, the method of obtaining another weight vector according to the present invention through the following.

In calculating the weight vector to be multiplied by the output of each finger, in addition to using the desprambling DPCCH signal at each antenna and the descrambling signal before despreading the DPCCH at each antenna, the despread DPCCH signal vector, y The weight vector may be calculated by constructing an autocorrelation matrix having only a desired signal component using only bays and constructing the following determinant.

It is possible to use only a signal vector consisting of a desired signal without obtaining a signal or an interference component before despreading. In the case of DPCCH, the spreading factor is fixed at a high value of 256 so that each finger can be multiplied sufficiently without estimating the interference signal component. This is because it is assumed that there is no problem in obtaining a weight vector and performing signal processing.

However, in this case, since the signal before the DPCCH despreading is not used, there is a difference in the finger weight calculation units 330 and 430 from the system shown in FIG. 3. Since the signal processing method may be the same as that of FIG. 3, the structure of the signal is identical to that of FIG. 3 except for the finger weight calculator.

The signal processing method of the rake receiver in the WCDMA system according to the present invention will be described below with reference to FIG. 3.

However, the signal processing of the WCDMA system of the present invention focuses on the above-described process of the DPCH 200, and the following description assumes the WCDMA system, but this is applicable to the CDMA system.

First, the signal passing through the matched filter 340 at each antenna passes through the searcher 350. The signal transmitted from the transmitter is distributed to various paths through the mobile channel environment, and becomes a multipath signal. The searcher 350 separates the arrival time difference of the multipath signal using a code characteristic used in a WCDMA system.

In addition, the finger 310 of the present invention has the same structure as the finger that performs only time processing of the existing CDMA system, and each finger performs signal processing as follows.

Once the searcher 350 measures the signal strength of each path, and assigns a path having a signal strength of a certain level or more to each finger 310, each finger 310 first performs Descrambling on the DPCH 200. In addition, the DPCCH 220 and DPDCH 210 codes are also multiplied to perform despreading.

In this case, it should be noted that the TFCI 224 portion of the DPCCH 220 including the spreading factor (SF) of the DPDCH 210 and the information necessary for the DPDCH 210 despreading is one frame of the DPCCH 220. Since the DPDCH 210 despreads the frame of the DPCCH 220 and obtains the TFCI 224 information, the DPDCH 210 stores it in a memory, such as the buffer 316, since it can be known only after receiving all the frames). Should be doing.

On the contrary, since the DPCCH 220 always has a Spreading Factor (SF) fixed at 256 and a channelization code is known in advance, the DPCCH 220 has one frame unlike the DPDCH 210. You can despread without having to save. On the contrary, the spreading factor (SF) of the DPDCH 210 of the reverse channel is flexible to change in units of frames.

Therefore, in order to use the despread DPDCH 210 in the weight vector to multiply each finger 310, a time delay for one frame of the entire system is inevitable, and a time delay of 10 ms results in a DPDCH 210. It is bound to occur in the finger 310 weight vector calculator for calculating the weight vector to be multiplied by the output terminal of each finger 310 used.

In view of the foregoing, the present invention uses the signal of the DPCCH 220 to obtain a weight vector to be multiplied by the output terminal of each finger 310. That is, SF is always fixed at 256, so that the weight vector to be multiplied to the output terminal of each finger 310 is calculated using DPCCH 220, which can directly obtain the signal despread without a separate buffer, and the weight vector is DPCCH ( 220) and DPDCH 210.

As can be seen in FIG. 2, the finger weight calculation unit of the rake receiver has a DPCCH 220 signal despread at each finger 310 and a signal descrambling only before despreading the DPCCH 220 at the same time. It is input as a vector signal to calculate a weight vector for multiplying the output terminal of each finger (310).

The algorithm for calculating the weight for multiplying the output terminal of the finger 310 in the finger weight calculation unit includes x and each finger having a vector of a signal before despreading the DPCCH 220 at each finger 310. By estimating the autocorrelation matrix of each signal vector using y of the signal after despreading the DPCCH 220 in 310, the maximum eigenvector corresponding to the maximum eigenvalue of the determinant consisting of two matrices is obtained. Each component of the eigenvector is used as a weight to multiply the output terminal of each finger 310 in that order. The determinant applied here can be written as:

As described above, there are several methods for obtaining the weight vector w in Equation 9, using one of them. Of course, since the equation used is the same, but the input signal for composing each matrix depends on the system used, the modem structure for the rake receiver of the structure that multiplies the appropriate weight vector by the output of each finger 310 should also be different. .

In the present invention, equation (11) is applied to a WCDMA system to obtain a weight vector to be multiplied by an output terminal of each finger 310. In addition, a weight vector for multiplying the output terminal of each finger 310 by using a signal before despreading the DPCCH 220 signal and a despread signal is obtained, and the weight vector is multiplied to both the DPCCH 220 and the DPDCH 210. To apply.

In order to perform signal processing by multiplying the weight vector to be multiplied by the output terminal of each finger 310 obtained from the DPCCH 220 at the symbol level in the DPDCH 210, the DPDCH 210 signal processing should be performed as follows.

The DPDCH 210 should store data in a memory such as a buffer 316 while obtaining a weight vector to be multiplied to the output terminal of each finger 310 by using the signal before despreading and the signal after despreading. This continues until one frame of DPCCH 220 is despread.

Once the weight vector is obtained from the DPCCH 220, the weight is applied to the DPDCH 210 data of one frame stored in the buffer (of course, the weight vector update values for one frame) to perform signal processing.

This happens after the DPCCH 220 weight vector has been obtained for one frame. The weight vector value should be stored according to whether the weight vector update is performed in symbol units, slot units, or another unit.

Also, the DPCCH 220 is stored without using the DPCCH 220 while the weight vector to be multiplied to the output terminal of each finger 310 is obtained by using the signal before the despreading and the signal after the despreading. After multiplying the obtained weight vector by the non-despread DPDCH 210, the frames of the DPCCH 220 are despread later, and after obtaining information for despreading the DPDCH 210, the despreading of the DPDCH 210 is performed. You may be able to.

Of course, when receiving one frame of the DPCCH 220 signal, the TFCI is decoded for the DPDCH 210 despreading, and the DPDCH 210 is actually despread using the decoded TFCI information. The despread value is multiplied by the weight vectors obtained through one frame of the DPCCH 220 to each finger 310 in accordance with an update period to perform signal processing.

That is, the DPCCH 220 continuously updates the weight vector to be multiplied by the output terminal of each finger 310 while continuously despreading, and basically the weight obtained from the DPCCH 220 for one frame using one frame as a processing unit. DPDCH (210) signal through the dot product with DPDCH (210) data stored values in accordance with the weight vector update period among the update values of the weight vectors obtained for one frame and the DPDCH (210) data stored value for one frame. The processing will be performed.

In this case, the DPCCH 220 including the DPDCH 210 despreading information may be first removed from the interference and the desired signal may be more efficiently received, and then the DPDCH 210 may be despread so that the DPCCH 220 and the DPDCH ( Better performance can be expected than obtaining the weight vector of 210 separately using the DPCCH 220 and DPDCH 210 signals, respectively.

In addition, when the DPCCH 220 and the DPDCH 210 are obtained using the respective channels to obtain a weight vector to be multiplied by the output terminal of each finger 310 and performing rake reception, the DPCCH 220 is used using the signal of the DPCCH 220. And some more time delay than obtaining the weight vector for DPDCH 210.

This is because the DPDCH 210 can despread only after receiving all of the DPCCH 220 and then decodes the TFCI so that the weight vector for the DPDCH 210 can be calculated from that time. The delay is somewhat longer than when the weight vector is calculated.

As described above, the rake receiver and the signal processing method according to the present invention have the advantage of maximizing the signal-to-interference noise ratio by excluding the influence of the interference signal and receiving the desired signal more efficiently.

In addition, the bit error rate can be reduced at the same signal-to-noise ratio as compared to the conventional system, thereby contributing to the improvement of communication quality.

Claims (10)

A finger extracting a signal of each path transmitted from a transmitter, A finger weight calculation unit for calculating a weight vector to be multiplied to the output terminal of each finger to maximize a signal-to-interference noise ratio; And a weight application unit that multiplies the weight vector calculated by the finger weight calculation unit with the output terminal of the finger. The method of claim 1, And the finger comprises a delayed synchronization loop for maintaining and synchronizing the timing allocated to the received signal. The method of claim 1, And a dedicated physical channel descrambler and a dedicated physical control channel despreader further included in the finger. The method of claim 1, And a dedicated physical data channel despreader, a despreaded dedicated physical control channel adder, and a despreaded dedicated physical data channel adder. The method of claim 1, And the finger weight calculator calculates a weight vector using an autocorrelation matrix of a signal before despreading and a signal after despreading at the finger. The method of claim 1, And the finger weight calculator calculates a weight vector using an autocorrelation matrix having only a desired signal component using only the signal after despreading from the finger. Assigning a path having a signal strength of a predetermined level or higher to each finger; Despreading a signal received at each finger; Calculating a weight vector to multiply the output signal of each finger by inputting a signal after despreading and a signal before despreading at each finger into a finger weight calculation unit at the same time; Multiplying the weight vector calculated by the finger weight calculator with an output terminal of the finger; Signal processing method of the rake receiver, characterized in that it is included. The method of claim 7, wherein Computing a weight vector for multiplying the output terminal of each finger comprises: estimating an autocorrelation matrix of each signal using a signal before despreading and a signal after despreading at the finger; Obtaining a maximum eigenvector corresponding to the maximum eigenvalue of the determinant consisting of the estimated two matrices; Obtaining each component of the eigenvector as a weight vector to be multiplied by an output terminal of each finger in that order; The signal processing method of the rake receiver further comprises. Assigning a path having a signal strength of a predetermined level or higher to each finger; Despreading a signal received at each finger; Calculating a weight vector for multiplying the output signal of each finger by inputting a signal after despreading at each finger to a finger weight calculator to multiply the output terminal of each finger; Multiplying the weight vector calculated by the finger weight calculator with an output terminal of the finger; Signal processing method of the rake receiver, characterized in that it is included. The method of claim 9, Computing a weight vector for multiplying the output terminal of each finger comprises: estimating an autocorrelation matrix of a signal using a signal after despreading at the finger; Obtaining a maximum eigenvector corresponding to the maximum eigenvalue of the determinant of the estimated matrix; Obtaining each component of the eigenvector as a weight vector to be multiplied by an output terminal of each finger in that order; Signal processing method of the rake receiver, characterized in that it is included.