KR20210036548A - Turbo code decoding apparatus for i-q quantization transfer using multi relay - Google Patents

Abstract

Disclosed is a turbo code decoding apparatus for I-Q quantization transmission using multiple relays. According to the present invention, the turbo code decoding apparatus for the I-Q quantization transmission using the multiple relays includes: a sensor node for error-correction-encoding a signal into a signal in which a signal error is correctable, modulating the encoded signal to transmit the modulated signal through a sensor-relay channel; a first relay node for I-Q-quantizing the signal transmitted from the sensor node through the sensor-relay channel, and transmitting the signal through a relay-reception channel in response to a codeword for transmitting the signal based on a codebook; a second relay node for I-Q-quantizing the signal transmitted from the sensor node through the sensor-relay channel, and transmitting the signal through the relay-reception channel in response to the codeword for transmitting the signal based on the codebook; and a reception node for converting the codeword transmitted from the first relay node and the second relay node through the relay-reception channel into a quantized signal based on the codebook, and combining the converted quantized signal to decode the signal. Accordingly, accuracy of a signal is improved.

Description

Multi-relay I-Q quantization transmission turbo code decoding device {TURBO CODE DECODING APPARATUS FOR I-Q QUANTIZATION TRANSFER USING MULTI RELAY}

The present invention relates to a multi-relay IQ quantization transmission turbo code decoding apparatus, and more particularly, cooperation using a relay when it is difficult to use a plurality of antennas according to a disorder in a radio path, a channel environment, and a constraint condition in an IoT field in the energy power field. The present invention relates to a multi-relay IQ quantized transmission turbo code decoding apparatus using a communication technique to improve signal accuracy.

With the recent development of the Internet of Things (IoT), the wireless sensor network technology, which is one of the major technologies of IoT, has also attracted a lot of interest. With the development of IoT technology, the amount of data that needs to be transmitted from sensor nodes is increasing, and this requires accuracy of data transmission and high data transmission rate.

In the case of a sensor network in the IoT field of energy power, it may be difficult to use a modulation method to match a desired data rate when the channel environment is not good because the sensor requires limited power use. If the condition of the LOS (Line Of Sight) without obstacles in the propagation path between the sensor node and the receiving node is not satisfied, and the channel environment is not good due to multipath fading, even if the power of the transmitted signal increases, the corresponding signal The bit error rate (BER) is not significantly improved. Diversity technology is used as a method that can effectively overcome a multipath fading channel environment in a state in which the power intensity of a transmission signal is limited due to a battery problem in the sensor. Diversity technology can be classified into time, frequency, and spatial diversity, among which spatial diversity is a method of increasing transmission efficiency by using a plurality of antennas. However, since it is difficult to apply the method of using multiple antennas in the sensor network of the IoT in the energy power field, where the size of the node, hardware, and cost are limited, a relay that can obtain a diversity effect with only one antenna is used. Cooperative communication techniques are used.

Cooperative communication techniques using a relay include amplify and forward (AF), decode and forward (DF), and compress and forward (CF) methods depending on the operation method.

However, in the conventional DF scheme, when a transmission signal of a sensor node fails to be decoded by a relay, performance degradation occurs due to an error between the sensor node and the relay node even if there is no error between the receiving node and the relay. The AF method does not degrade the performance due to decoding failure in the DF method, but it has a disadvantage that noise amplification also occurs due to signal amplification received from the relay. The QF method has a lower computational complexity than the DF method, but only when the channel environment between the relay node and the receiving node is good has a performance limitation with a high transmission rate.

The background technology of the present invention is disclosed in Korean Patent Laid-Open Publication No. 10-2011-0112136 (2011.10.12) in'a method and apparatus for differential quantization of channel information in a multi-antenna wireless system'.

The present invention was invented to improve the above-described problem, and an object according to an aspect of the present invention is to provide a relay when it is difficult to use a plurality of antennas due to obstacles in the propagation path, channel environment, and constraint conditions in the IoT field in the energy power field. It is to provide a multi-relay IQ quantization transmission turbo code decoding apparatus that improves signal accuracy by using the cooperative communication technique used.

According to an aspect of the present invention, a multi-relay I-Q quantization transmission turbo coding decoding apparatus includes: a sensor node for error-correcting encoding a signal into a signal capable of correcting a signal error, modulating the encoded signal, and transmitting the signal through a sensor-relay channel; A first relay node for I-Q quantization of the signal transmitted from the sensor node through the sensor-relay channel, corresponding to a codeword for signal transmission based on a codebook, and transmitting the signal through a relay-receiving channel; A second relay node that I-Q quantizes the signal transmitted from the sensor node through the sensor-relay channel, corresponds to a codeword for signal transmission based on a codebook, and transmits it through a relay-reception channel; And a receiving node converting the codeword transmitted through the relay-receiving channel from the first relay node and the second relay node into a quantized signal based on a code book, and combining and decoding the converted quantized signal. Characterized in that.

The sensor node of the present invention comprises: a turbo code encoder for error correction coding to correct an error in a signal; And a 16QAM modulator that modulates the codeword encoded by the turbo code encoder using a 16QAM (Quadrature Amplitude Modulation) modulation method and transmits it to the first relay node and the second relay node through the sensor-relay channel. It is characterized.

The first relay node of the present invention comprises: an I-Q quantizer for quantizing the corrected signal by separating the corrected signal into I-Q channels after correcting the channel phase of the signal using the channel size and the channel phase value of the sensor-relay channel; A codebook-based source coder corresponding to a signal quantized by the I-Q quantizer as a codeword for signal transmission based on a codebook; And a code modulator that modulates the quantized codeword input from the codebook-based encoder and transmits it to the sensor node through the relay-receiving channel.

The I-Q quantizer of the present invention is characterized in that the signal is quantized using a uniform quantization method.

The second relay node of the present invention includes an I-Q quantizer for quantizing the corrected signal by separating the corrected signal into I-Q channels after correcting the channel phase of the signal using the channel size and the channel phase value of the sensor-relay channel; A codebook-based source coder corresponding to a signal quantized by the I-Q quantizer as a codeword for signal transmission based on a codebook; And a code modulator that modulates the quantized codeword input from the codebook-based encoder and transmits it to the sensor node through the relay-receiving channel.

The I-Q quantizer of the present invention is characterized in that the signal is quantized using a uniform quantization method.

The receiving node of the present invention includes: a code demodulator for demodulating a quantized codeword and a channel gain value transmitted from the first relay node and the second relay node through the relay sensor channel; A code book-based source decoder for decoding the quantized codeword demodulated by the code demodulator into a quantized signal based on a code book; The signals received from the first relay node and the second relay node are combined by maximum-ratio combining through a signal value quantized by the codebook-based source decoder and a channel gain value, and the combined signal is A combiner that calculates a bit log likelihood ratio (LLR) using; And a turbo code decoder that decodes the signal transmitted from the sensor node by using the bit LLR that is combined and input by the combiner.

The combiner of the present invention comprises a channel gain value of the sensor-relay channel between the sensor node and the first relay node, a signal value quantized by the first relay node, and the signal value between the sensor node and the second relay node. The channel gain value of the sensor-relay channel and the signal value quantized by the second relay node are combined in a maximum ratio combination, and the channel gain value of the sensor-relay channel between the sensor node and the first relay node, and the sensor A channel gain value of the sensor-relay channel between a node and the second relay node is obtained through a channel amplitude value and a channel phase value of the sensor-relay channel.

The combiner of the present invention comprises a channel gain value of the sensor-relay channel between the sensor node and the first relay node, a signal value quantized by the first relay node, and the signal value between the sensor node and the second relay node. The channel gain value of the sensor-relay channel and the signal value quantized by the second relay node are combined in a maximum ratio combination, and the channel gain value of the sensor-relay channel between the sensor node and the first relay node, and the sensor The channel gain value of the sensor-relay channel between the node and the second relay node is the same.

The multi-relay IQ quantization transmission turbo code decoding apparatus according to an aspect of the present invention uses a cooperative communication technique using a relay when it is difficult to use a plurality of antennas due to a failure in a propagation path, a channel environment, and a constraint condition in the IoT field in the energy power field. To improve the accuracy of the signal.

The multi-relay IQ quantization transmission turbo code decoding apparatus according to another aspect of the present invention does not satisfy the LOS (Line Of Sight) condition in which there is no obstacle in the propagation path between the sensor node and the receiving node in a wireless sensor network, and due to multi-path fading. Even if the channel environment is not good, it is possible to improve reception performance by providing a diversity effect to a system that needs to use limited power, such as in a sensor node.

The multi-relay IQ quantization transmission turbo code decoding apparatus according to another aspect of the present invention uses an IQ quantization and then transfer method among cooperative communication techniques using a relay, thereby reducing the amount of computation in the relay node and reducing power consumption and increasing the network life. I can make it.

1 is a block diagram of a multi-relay IQ quantized transmission turbo code decoding apparatus according to an embodiment of the present invention.
2 is a block diagram of a turbo coder of a sensor node according to an embodiment of the present invention.
3 is a 16QAM constellation diagram according to an embodiment of the present invention.
4 is a block diagram of a turbo code decoder of a receiving node according to an embodiment of the present invention.
5 is a diagram showing the performance of a multi-relay IQ quantized transmission turbo code decoding apparatus according to an embodiment of the present invention.

Hereinafter, a multi-relay I-Q quantization transmission turbo code decoding apparatus according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings. In this process, thicknesses of lines or sizes of components shown in the drawings may be exaggerated for clarity and convenience of description. In addition, terms to be described later are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of users or operators. Therefore, definitions of these terms should be made based on the contents throughout the present specification.

The implementations described herein may be implemented in, for example, a method or process, an apparatus, a software program, a data stream or a signal. Although discussed only in the context of a single form of implementation (eg, only as a method), the implementation of the discussed features may also be implemented in other forms (eg, an apparatus or program). The device may be implemented with appropriate hardware, software and firmware. The method may be implemented in an apparatus such as a processor, which generally refers to a processing device including, for example, a computer, a microprocessor, an integrated circuit or a programmable logic device, or the like. Processors also include communication devices such as computers, cell phones, personal digital assistants (“PDAs”) and other devices that facilitate communication of information between end-users.

1 is a block diagram of a multi-relay IQ quantization transmission turbo code decoding apparatus according to an embodiment of the present invention, and FIG. 2 is a block diagram of a turbo coder of a sensor node according to an embodiment of the present invention. 3 is a 16QAM constellation diagram according to an embodiment of the present invention, FIG. 4 is a block diagram of a turbo code decoder of a receiving node according to an embodiment of the present invention, and FIG. A diagram showing the performance of a relay IQ quantization transmission turbo code decoding apparatus.

Referring to FIG. 1, a multi-relay IQ quantization transmission turbo code decoding apparatus according to an embodiment of the present invention includes a sensor node 10, a first relay node 20, a second relay node 30, and a receiving node 40. ).

In this embodiment, it is assumed that the sensor-relay channel has a poor channel environment due to non-line of sight (NLOS) and multipath fading.

The sensor node 10 encodes the signal into a signal capable of correcting a signal error, modulates the encoded signal, and transmits the encoded signal to the first relay node 20 and the second relay node 30 through a sensor-relay channel.

The sensor node 10 includes a turbo code encoder 11 and a 16 QAM (Quadrature Amplitude Modulation) modulator 12.

The turbo code encoder 11 performs error correction coding on the signal so as to correct errors in the signal. Referring to FIG. 2, the turbo encoder 11 includes two RSC (Recursive Systematic Convolutional Code) encoders and one interleaver, and assumes that the code rate is 1/2 through puncturing.

The 16QAM modulator 12 combines the codewords generated by the RSC encoder into a single symbol by combining 4 bits, modulates the codeword by a 16QAM modulation method having a constellation as shown in FIG. 3, and modulates the modulated signal through a sensor-relay channel. It is input to the 1 relay node 20 and the 2nd relay node 30.

The first relay node 20 quantizes the signal transmitted from the sensor node 10 through the sensor-relay channel, corresponds to the quantized signal as a codeword for signal transmission based on the codebook, and then establishes the relay-receive channel. It is transmitted to the receiving node 40 through the.

The first relay node 20 includes an I-Q quantizer 21, a cove book-based source coder and a code modulator 23.

The I-Q quantizer 21 corrects the channel phase of the signal using the channel amplitude and the channel phase value, divides the corrected signal into an I-Q channel, analyzes it into two 4-ary PAM signals, and quantizes it.

Various methods may be used as the quantization method, but in this embodiment, a uniform quantization method will be described as an example in order to reduce the complexity in the relay node. Since the received signal corrected for the channel phase is separated into I-Q channels and analyzed, the following descriptions describe processing based on the components of the I channel.

는 양자화 과정을 거치면

로 출력된다.

는 양자화 비트수가 n일 때 L=2ⁿ개의 구간 개수를 가지는

의 값들 중에서 결정된다. 양자화 전체 범위가

라고 가정했을 때, 각 구간 크기는

이 되고, 구간의 경계값은

가 된다. In the uniform quantization method, the signal passed through the sensor-relay channel

Is after the quantization process

Is output as.

A quantization bit number n days, when L = 2 ⁿ with the number of intervals

Is determined among the values of. Full range of quantization

Assuming that, the size of each section is

Becomes, and the boundary value of the interval is

Becomes.

, i=0,1,…L-1이 되고,

가 i번째 양자화 구간안의 값일 때

이 된다. 여기서

를 수신 노드(40)에 그대로 전송하기에는

값을 나타내는데 사용되는 비트수가 많을 수 있다. q _i is the median value of each interval

, i=0,1,... Becomes L-1,

Is a value in the i-th quantization interval

Becomes. here

To transmit to the receiving node 40 as it is

There may be a large number of bits used to represent a value.

Accordingly, the codebook-based source coder 22 corresponds to the signal quantized by the IQ quantizer 21 as a codeword for signal transmission based on the codebook, and converts the quantized codeword as a channel gain value through channel estimation. By inputting it into the code modulator 23, it can be transmitted to the receiving node 40.

를 {0000,0001,…1110,1111}로 대응하여 수신 노드(40)에 전송할 수 있도록 한다. For example, when the codebook-based source coder 22 has 4 quantization bits,

To {0000,0001,... 1110,1111} to enable transmission to the receiving node 40.

The code modulator 23 modulates the quantized code and the channel gain value input from the codebook-based source coder 22 and transmits it to the receiving node 40 through a relay-receiving channel.

The second relay node 30 includes an I-Q quantizer 31, a codebook based source coder 32 and a code modulator 33. Each of the IQ quantizer 31, the codebook-based source encoder 32, and the code modulator 33 of the second relay node 30 are the IQ quantizer 21 and the code of the first relay node 20. Since the book-based source encoder 22 and the code modulator 23 perform the same operation, a detailed description thereof will be omitted.

The receiving node 40 converts the codeword transmitted from the first relay node 20 and the second relay node 30 into a quantized signal based on the code book, and combines and decodes the converted quantized signal.

The receiving node 40 includes a code demodulator 41, a codebook-based source decoder 42, a combiner 43 and a turbo code decoder 44.

The code demodulator 41 demodulates a quantized code and a channel gain value transmitted from the first relay node 20 and the second relay node 30 through a relay-receiving channel.

The codebook-based source decoder 42 decodes the quantized codeword demodulated by the code demodulator 41 into a quantized signal based on the codebook.

The combiner 43 determines an input value to be input to the turbo code decoder 44 through maximum-ratio combining through respective quantized codewords and channel gain values.

라 하고, 제1 릴레이 노드(20)에서 양자화된 신호값을

이라 하며, 센서 노드(10)와 제2 릴레이 노드(30) 사이의 센서-릴레이 채널의 채널 이득값을

라 하며, 제2 릴레이 노드(30)에서 양자화된 신호값을

라 하면, 제1 릴레이 노드(20)에서 양자화된 신호

와 제2 릴레이 노드(30)에서 양자화된 신호

의 최대 비율 결합으로 결합된 신호

는 아래의 수학식 1 같이 표현된다.In this case, the channel gain value of the sensor-relay channel between the sensor node 10 and the first relay node 20

And the quantized signal value in the first relay node 20

And the channel gain value of the sensor-relay channel between the sensor node 10 and the second relay node 30

And the quantized signal value in the second relay node 30

If d, the signal quantized by the first relay node 20

And the quantized signal at the second relay node 30

Combined signal with a maximum ratio of combined

Is expressed as in Equation 1 below.

[Equation 1]

The combiner 43 calculates a bit log likelihood ratio (LLR) by using the combined signal as in Equation 1 above.

The turbo code decoder 44 decodes the signal transmitted from the sensor node 10 using bit LLR.

Meanwhile, in the above embodiment, the receiving node 40 converts the quantized codeword sent from each relay node into a quantized signal based on the codebook, and then converts the sensor node 10 and the first relay node 20 or the first 2 The signals received from the first relay node 20 and the second relay node 30 are combined through a maximum ratio combining method using a channel gain value between the relay nodes 30 and a quantized signal value.

In this embodiment, the first relay node 20 or the second relay node 30 needs to perform channel estimation in order to obtain a channel gain value. Channel estimation in the maximum ratio combining method can obtain a channel gain value by estimating a channel amplitude value and a channel phase value, but this process may increase the complexity relatively.

Accordingly, the combiner 43 may combine the signals by estimating only the channel phase value.

That is, the method of quantizing the received signal corrected for the channel phase is performed as in the above embodiment, and since there is no channel gain value, the same gain combining method can be used.

이라 하고, 센서 노드(10)와 제2 릴레이 노드(30) 사이의 센서-릴레이 채널의 채널 이득값을 ??

라 할 때, 센서 노드(10)와 제1 릴레이 노드(20) 사이의 센서-릴레이 채널의 채널 이득값

과 센서 노드(10)와 제2 릴레이 노드(30) 사이의 센서-릴레이 채널의 채널 이득값

를 동일하게 설정한다. In the above embodiment, the channel gain value of the sensor-relay channel between the sensor node 10 and the first relay node 20

And the channel gain value of the sensor-relay channel between the sensor node 10 and the second relay node 30 is?

, The channel gain value of the sensor-relay channel between the sensor node 10 and the first relay node 20

And the channel gain of the sensor-relay channel between the sensor node 10 and the second relay node 30

Set the same.

과 센서 노드(10)와 제2 릴레이 노드(30) 사이의 센서-릴레이 채널의 채널 이득값 ??

이 같다고 가정할 때 그 크기를 알 수 없으므로, 센서 노드(10)와 제1 릴레이 노드(20) 사이의 채널 이득값

과 센서 노드(10)와 제2 릴레이 노드(30) 사이의 채널 이득값 ??

을 1이라 가정하면, 제1 릴레이 노드(20)와 제2 릴레이 노드(30)에서 받은 신호를 결합한 신호는 아래의 수학식 2와 같다.Channel gain value of the sensor-relay channel between the sensor node 10 and the first relay node 20

And the channel gain value of the sensor-relay channel between the sensor node 10 and the second relay node 30?

Assuming that this is the same, the size is not known, so the channel gain value between the sensor node 10 and the first relay node 20

And the channel gain value between the sensor node 10 and the second relay node 30 ??

Assuming that is 1, a signal obtained by combining the signals received from the first relay node 20 and the second relay node 30 is shown in Equation 2 below.

[Equation 2]

When the combiner 43 calculates the bit LLR using the combined signal as in Equation 2, the turbo code decoder 44 decodes the signal transmitted from the sensor node 10 using the bit LLR.

For the performance comparison according to the present embodiment, when a relay node is not used, the first relay node 20 and the second relay node 30 are used, and the maximum ratio combining method is used as the signal combining method, the first The BER in the case of using the relay node 20 and the second relay node 30 and using the same gain combining method as a signal combining method is shown in FIG. 5. A channel of the sensor node 10 and the first relay node 20 and a channel between the sensor node 10 and the second relay node 30 are assumed to be a Rayleigh channel.

Referring to FIG. 5, when the first relay node 20 and the second relay node 30 are used and the maximum ratio combining method is used as the signal combining method, the first relay node 20 and the second relay node 30 are used. It can be seen that the BER decreases in the order of using) and using the same gain combining method as the signal combining method and not using the relay node.

As described above, the multi-relay IQ quantization transmission turbo code decoding apparatus according to an embodiment of the present invention uses a relay when it is difficult to use a plurality of antennas due to obstacles in the propagation path, channel environment, and constraints in the IoT field in the energy power field. Use communication techniques to improve signal accuracy.

In addition, the multi-relay IQ quantization transmission turbo code decoding apparatus according to an embodiment of the present invention is a line of sight (LOS) condition in which there is no obstacle in the propagation path between the sensor node 10 and the receiving node 40 in a wireless sensor network. Even if this is not satisfied and the channel environment is not good due to multipath fading, it is possible to provide a diversity effect to a system requiring limited power use as in the sensor node 10, thereby improving reception performance.

In addition, the multi-relay IQ quantization transmission turbo code decoding apparatus according to an embodiment of the present invention uses an IQ quantization and then transfer technique among cooperative communication techniques using relays, thereby reducing the amount of computation in the relay node and thereby reducing power consumption. Network life can be increased.

Although the present invention has been described with reference to the embodiments shown in the drawings, this is only exemplary, and those of ordinary skill in the art to which the present technology pertains, various modifications and other equivalent embodiments are possible. I will understand. Therefore, the true technical protection scope of the present invention should be determined by the following claims.

10: sensor node 11: turbo coder
12: 16QAM modulator 20: first relay node
21,31: IQ quantizer 22,32: Codebook-based source coder
23,33: code modulator 30: second relay node
40: receiving node 41: code demodulator
42: codebook based source decoder 43: combiner
44: turbo code decoder

Claims (9)

A sensor node for error correction encoding a signal into a signal capable of correcting a signal error, modulating the encoded signal, and transmitting the signal through a sensor-relay channel;
A first relay node that IQ quantizes the signal transmitted from the sensor node through the sensor-relay channel and transmits it through a relay-receiving channel in response to a codeword for signal transmission based on a codebook;
A second relay node that IQ quantizes the signal transmitted from the sensor node through the sensor-relay channel and transmits it through a relay-receiving channel in response to a codeword for signal transmission based on a codebook; And
And a receiving node converting the codeword transmitted through the relay-receiving channel from the first relay node and the second relay node into a quantized signal based on a code book and combining and decoding the converted quantized signal. Multi-relay IQ quantization transmission turbo code decoding device. The method of claim 1, wherein the sensor node
A turbo code encoder for error correction coding to correct an error in a signal; And
And a 16QAM modulator that modulates the codeword encoded by the turbo coder using a 16QAM (Quadrature Amplitude Modulation) modulation method and transmits it to the first relay node and the second relay node through the sensor-relay channel. Multi-relay IQ quantization transmission turbo code decoding device using The method of claim 1, wherein the first relay node
An IQ quantizer for quantizing the corrected signal by separating the corrected signal into IQ channels after correcting the channel phase of the signal using the channel size and the channel phase value of the sensor-relay channel;
A codebook-based source coder corresponding to the signal quantized by the IQ quantizer as a codeword for signal transmission based on a codebook; And
And a code modulator that modulates the quantized codeword input from the codebook-based encoder and transmits it to the sensor node through the relay-receive channel. The method of claim 3, wherein the IQ quantizer
A multi-relay IQ quantization transmission turbo code decoding apparatus, characterized in that the signal is quantized using a uniform quantization method. The method of claim 1, wherein the second relay node
An IQ quantizer for quantizing the corrected signal by separating the corrected signal into IQ channels after correcting the channel phase of the signal using the channel size and the channel phase value of the sensor-relay channel;
A codebook-based source coder corresponding to the signal quantized by the IQ quantizer as a codeword for signal transmission based on a codebook; And
And a code modulator that modulates the quantized codeword input from the codebook-based encoder and transmits it to the sensor node through the relay-receive channel. The method of claim 5, wherein the IQ quantizer
A multi-relay IQ quantization transmission turbo code decoding apparatus, characterized in that the signal is quantized using a uniform quantization method. The method of claim 1, wherein the receiving node
A code demodulator configured to demodulate a quantized codeword and a channel gain value transmitted from the first relay node and the second relay node through the relay sensor channel;
A code book-based source decoder for decoding the quantized codeword demodulated by the code demodulator into a quantized signal based on a code book;
The signals received from the first relay node and the second relay node are combined by maximum-ratio combining through a signal value quantized by the codebook-based source decoder and a channel gain value, and the combined signal is A combiner for calculating a bit log likelihood ratio (LLR); And
And a turbo code decoder that decodes the signal transmitted from the sensor node by using the bit LLR combined and inputted by the combiner. The method of claim 7, wherein the linking group
A channel gain value of the sensor-relay channel between the sensor node and the first relay node, a signal value quantized by the first relay node, a channel of the sensor-relay channel between the sensor node and the second relay node A gain value and a signal value quantized at the second relay node are combined by a maximum ratio combination,
The channel gain value of the sensor-relay channel between the sensor node and the first relay node and the channel gain value of the sensor-relay channel between the sensor node and the second relay node are the channel amplitude of the sensor-relay channel Multi-relay IQ quantization transmission turbo code decoding apparatus, characterized in that obtained through the value and the channel phase value. The method of claim 7, wherein the linking group
A channel gain value of the sensor-relay channel between the sensor node and the first relay node, a signal value quantized by the first relay node, a channel of the sensor-relay channel between the sensor node and the second relay node A gain value and a signal value quantized at the second relay node are combined by a maximum ratio combination,
Multiple relay IQ, characterized in that the channel gain value of the sensor-relay channel between the sensor node and the first relay node and the channel gain value of the sensor-relay channel between the sensor node and the second relay node are the same Quantization transmission turbo code decoding device.

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