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Parallel to Serial Converter Simulink Software: A Guide to Implementing Shift Registers



Let assume the parallel data bus of the Parallel to Serial converter to be N bit. The parallel input to the module shall be at a rate of less than or equal to 1/N clock cycles. The serializer section takes N clock cycles to output the serial data stream.




parallel to serial converter simulink software




In Figure4 is reported a simulation of the parallel to serial converter VHDL code above. First serial output bit is the MSB of the input parallel data. You can choose to output first the LSB. It depends on the convention you are using. In the testbench is used a serial to parallel converter to verify the serialization. The serial to parallel conversion is identified by the signal byte in figure.


In this post, we implemented a simple example of parallel to serial VHDL code. Such a conversion strategy can be used when we need to connect two different devices like two FPGA and we need to minimize the connection wires. The clock for the data connection must run at least N times faster (where N is the number of bits to serialize).


Abstract- In the actual scenario of communication, present day chips have parallel data bus but for long distancecommunication laying down parallel channels for every bit is costlyand hardware consuming. Therefore, we use only a single channel tocommunicate between the two ports i.e. transmitter and receiver.For the receiver chips we use serial data from the channel andconvert to parallel for future use.


The task of a serial to parallel converter is to take a stream of datain serial format and for N-bit parallel converter, give N-bits asparallel output. Parallel data is required in several places likecommunication in a network, radar equipment etc. But the data cannot befed to these systems in parallel format as the external hardwarebecomes cumbersome. A serial to parallel converter comes to rescue inthese situations.


Serial to parallel convertor can also be considered as a serial-inparallel-out shift register. The basic structural component of theshift register is negative edge triggered D flip-flop. For N-bit serialto parallel convertor, N number of D flip-flops will be required.


productivity. Here comes the need of serial to parallel converter. Thetransmitter section consists of a vice-versa parallel to serialconverter and the receiver consists of serial to parallel converter.


The converters can be a N-bit, implying the output can be obtained inN-bit parallel data. The clock frequency is 100kHz and the data rate is10kHz. The data rate should be quite a factor less than clock frequencyso as to obtain correct output waveforms.


Under Real Time Workshop, click 'Build' and watch themagic happen. Ashish Guptareplied on: 69 of 123Hi Seth,I have landed up in a strange problem. 'Parfor' statement for parallel computing toolbox doesnot work inside simulink.


I have tried to modify one of my m file s funtion block and it threw this error on my faceError evaluating registered method 'Outputs' of M-S-Function 'test1' in 'test/Level-2 M-file S-Function'. Error using parallelfunctionmakegeneralchannel/channelgeneral at 858Undefined function handle. The following is the MATLAB call stack (file names and line numbers) that produced this error:'C:Program FilesMATLAB1R2008atoolboxmatlablangparallelfunction.m' 752'C:Program FilesMATLAB1R2008atoolboxmatlablangparallelfunction.m' 564'C:Program FilesMATLAB1R2008aworktest1.m' 354. Prasadreplied on: 79 of 123HiI am trying to generate bode plot of system through simulink.I am sweeping a transfer function with a sinusoidal signal of amplitude 1 and frequency within some band. Say 1 rad/s to 1000 rad/s. I set the frequency as variable and run simulation for 10 cycles for each frequency.


The two coolant loops can be joined together in serial mode or kept separate in parallel mode using the 4-way valve. In cold weather, the coolant loops are in serial mode so that heat from the motor warms the batteries. If necessary, a heater can provide additional heat. In warm weather, the coolant loops remain in serial mode and both the batteries and the powertrain are cooled by the radiator. In hot weather, the coolant loop switches to parallel mode and separates. One loop cools the powertrain using the radiator. The other cools the batteries using the chiller in the refrigeration loop.


The 4-way valve in this subsystem controls whether the coolant loop operates in parallel or serial mode. When ports A and D are connected and ports C and B are connected, it is in parallel mode. The two coolant loops are separated with their own coolant tanks and pumps.


The following scope shows the vehicle speed, heat dissipation, cabin temperature, component temperatures, and control commands for the drive cycle scenario. At the beginning, the coolant loop is in serial mode. After about 1100 s, it switches to parallel mode and the chiller is used to keep the batteries below 35 degC.


Due to their construction, ETK, FETK, and XETK development ECUs do not require an additional serial interface to connect to the development tool. As a functionally and physically separate addition to the ECU, ETKs, FETKs, and XETKs facilitate direct comparison between the behavior of the development ECU and its production counterpart. Using an ETK, FETK, or XETK development ECU, series-production software can be calibrated with great ease and subsequently verified with the production ECU without the need to change drivers in the platform software.


When the microcontroller does not provide an external data and address bus, a microcontroller variant containing extended memory is often used for ECU development. In both test bench and in-vehicle testing, the ETK, FETK, or XETK interface facilitates access to the microcontroller over a long distance through a powerful test, debug, or Trace interface, such as JTAG, NEXUS, or AURORA. The application, views both the serial and the parallel ECU interface as identical and ECU independent.


Using the toolbox you can model, explore, and simulate hardware architecture options for DSP algorithms. The IP blocks enable implementation for serial and parallel processing so you can explore the design space between resource usage, power, and gigasample-per-second (GSPS) throughput performance.


Due to its relative simplicity and low hardware overhead (when compared to parallel interfacing), serial communications is used extensively within the electronics industry. Today, the most popular serial communications standard is certainly the EIA/TIA-232-E specification. This standard, which was developed by the Electronic Industry Association and the Telecommunications Industry Association (EIA/TIA), is more popularly called simply RS-232, where RS stands for \"recommended standard.\" Although this RS prefix has been replaced in recent years with EIA/TIA to help identify the source of the standard, this paper uses the common RS-232 notation.


The UART performs the "overhead" tasks necessary for asynchronous serial communication. Asynchronous communication usually requires, for example, that the host system initiate start and stop bits to indicate to the peripheral system when communication will start and stop. Parity bits are also often employed to ensure that the data sent has not been corrupted. The UART usually generates the start, stop, and parity bits when transmitting data, and can detect communication errors upon receiving data. The UART also functions as the intermediary between byte-wide (parallel) and bit-wide (serial) communication; it converts a byte of data into a serial bit stream for transmitting and converts a serial bit stream into a byte of data when receiving.


QPSK optimal band transmission system is shown in Figure 1, which is composed of transmitting part, channel and receiving part. The transmitting part includes digital signal input, serial/parallel conversion circuit, level conversion processing, sampling, root raised cosine transmission filter and QPSK modulation


circuit. Channel: communication channel with Gaussian white noise. The receiving part includes: demodulation circuit of QPSK signal, root raised cosine receiving matched filter, level conversion processing, sampling, decision, parallel/serial conversion circuit and digital signal output.


In the circuit structure of the designed QPSK optimal frequency band system, QPSK modulation is realized by orthogonal phase modulation method, that is, the input serial unipolar symbol sequence signal is transformed into parallel double bit bipolar code stream through serial parallel transformation, which enters the in-phase branch (called I channel) and quadrature branch (called Q channel) respectively, and the waveform gT(t) is formed through root raised cosine transmission filter, which is multiplied with quadrature carrier respectively, Two 2PSK signals are obtained, and the QPSK signal is synthesized. Its principle is shown in Formula (1). QPSK demodulation is realized by 2PSK coherent demodulation of two coherent orthogonal carriers (I channel and Q channel) [6] [7] [8]. The root raised cosine transmitting filter at the transmitting end and the root raised cosine receiving filter at the receiving end eliminate the inter symbol crosstalk and have the best anti noise performance of the QPSK transmission system, that is, realize the best transmission of QPSK, and the transmission system can be physically realized.


The transmission of the signal of the transmitting part is: the unipolar non return to zero input signal sequence is transformed into a bipolar non return to zero signal sequence through serial/parallel transformation, and then processed into a bipolar non return to zero signal sequence through level transformation. After being output through sampling and root rising cosine filtering, the output QPSK modulation signal is generated by the QPSK modulator and sent to the channel. Parameter setting: carrier frequency fc = 5 MHz, bit rate R = 5 Mbuad, transmit data 50 kbit.


The transmission of the received part of the signal is: after the QPSK signal is demodulated, it is received and filtered by the root rising cosine, which is changed from the sampling and decision circuit to the high-level and low-level signal, and then changed into the unipolar non return to zero signal sequence through level conversion, and the digital signal is output after parallel/serial conversion. Parameter setting: coherent carrier frequency Fc = 5 MHz, root raised cosine filter sampling rate Fs = 25 MHz, sampling decision interval 0.2 μs, roll down factor α = 0.1. 2ff7e9595c


 
 
 

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