DSP Development Board Research Articles

An Inductance-Capacitance Measurement Method Based On Auto-Balancing Bridge

Modern measurement modules are extremely demanding on the hardware and must accurately capture the relevant parameters of capacitance and inductance. The inductance and its quality factor, capacitance and its loss angle tangent value are very important parameters, but also the current testing difficulties. To efficiently and accurately measure the inductance and its quality factor, capacitance and its loss angle tangent, this paper developed a capacitance-inductance testing method based on automatic balanced bridge circuit. Firstly, based on the DSP development board, test capacitance and inductance by switching dip switches; Then, the use of self-excited oscillation method to generate a fixed frequency sinusoidal signal, through the amplifier to increase the amplitude of its signal, and the use of adder to the signal to provide a certain bias to meet the amplitude requirements; Finally, based on the automatic balanced bridge method, through the full-wave rectification plus filter will be converted into the average of the signal to be tested, and then use the amplifier circuit to control the average value of the signal to be tested, and then use the amplifier circuit to control the average value. Then use the amplifier circuit to control the average value within the AD sampling range, and use the micro-controller to collect the test amplitude, phase and other related parameters. The test results show the effectiveness of the proposed method.

Novel Field-Support Vector Regression-Based Soft Sensor for Accurate Estimation of Solar Irradiance

An accurate measurement of the solar irradiance is of significance for evaluating and developing of solar renewable energy systems. Soft sensors are used to provide feasible and economical alternatives to costly physical measurement instruments (e.g., pyranometers and pyrheliometers). Conventional soft-sensing methods assume that input data are identically and independently distributed (i.i.d.) and calculate an estimate of the solar irradiance via a regression model. However, different ambient temperatures result in various current–voltage characteristics, meaning that the i.i.d. assumption is violated. To improve the estimation accuracy, a field-support vector regression soft sensor is proposed to estimate the irradiance levels from photovoltaic (PV) electrical characteristics. The soft sensing system groups its input data into several fields in accordance with ambient temperatures. By transforming the original data into a style-free and i.i.d. space, the soft sensing model achieves better estimation performance. The proposed soft sensor can be easily implemented through a PV module, a thermometer, a current sensor, and a DSP development board. It is validated by simulations and experimental prototyping using real outdoor measurements.

Face Detection of Video Image Sequence Based on Human Characteristics

The study uses DSP as the core and develops agile tracking and surveillance system. It includes overall design of the system, construction of the hardware and compilation of the software. The system hardware consists of DC, color camera, cradle head, SEED-VPM642 DSP development board or pan-tilt-zoom control system. The paper analyzes com- mon algorithms of motion target detection. According to the characteristics of the acquired video images and the real-time requirements of the system, based on adjacent frame difference, the paper proposes continuous three-frame image differ- ence method to detect moving objects and uses centroid algorithm as the core algorithm of human motion tracking. The paper uses the character of human complexion and applies face detection algorithm based on complexion, which can rap- idly and accurately get the cleat face information of moving people. And the study selects the sum of the absolute value of gray difference as automatic focusing evaluation function of the design. Optimizing common focusing mountain-climb searching algorithm makes the system focus rapid and reliable, which can achieve the objective of automatic detection and trace on moving body and human head location.

The Development of Image Processing Board Based on Target Tracking

This paper selects the target tracking algorithm suitable for specific target environment: using Mean Shift algorithm based on space edge direction histogram at initialization, selecting tracking algorithm based on block when there is a shelter. On the basis of algorithm analysis and software experiment and studying of TI Company's TMS320DM642 DSP chip internal structure and development process, these two algorithms researched in this paper were transplanted to DSP platform and a series of optimization were been made to the algorithms codes after transplanted ,implementing target tracking and identified via DSP development board instead of PC.

Real Time Implementation of Audio Source Localization on Blackfin ADSP-BF527 EZ-KIT

The present paper discusses the implementation of direction of arrival estimation using Incoherent Wideband Music algorithm. The direction of arrival of an audio source is estimated using two microphones plugged in ―Line-in‖ input of a DSP development board. A solution to the problem of fluctuating estimation of the angle of arrival has been proposed. The solution consists on adding an audio activity detector before going on processing. Only voiced sound frames are considered as they fulfill the theoretical constraint of the used estimation technique. Furthermore, the latter operation is followed by integration over few frames. Only two sensors are used. For such a reduced number of sensors, the obtained results are promising.

Design and Implementation of Vehicle Pedestrian Detection System Based on FPGA

The vehicle pedestrian detection system is a kind of solution to car driver assistance. The system can detect pedestrian in dangerous and send early warning to drivers automatically. Therefore, it has practical significance to develop a robust、real-time and stability pedestrian detection system which can reduce and avoid pedestrian accidents effectively. This article completes the vehicle pedestrian detection system based on FPGA. It used the cyclone II EP2C70 DSP development board provided by the Altera Corporation. By testing, the system can determine a size of 320 × 240 grayscale image takes about 723ms at the clock frequency in the 100MHZ. It achieves the desired functionality. The system has better real-time and reliability. At the same time, it has small size, easy to control and the most important is that it has broad application prospects.

Rapid Control Prototyping Design of DSP-Based Motion Controller

This paper presents a Rapid Control Prototyping (RCP) development platform based on Matlab/Simulink, Real-Time Workshop and Embedded Target for C2000 and DSP development board. It also designs TMS320F2812 DSP-based motion controller under the proposed RCP. The controller using saturated integral PID algorithm produces PWM signal to control DC motor. Experimental results show that the designed controller can control motor accurately. Engineers can complete all design tasks such as modeling, automatic code generation, and download, running and parameters adjustment on this RCP platform when developing DSP application system. Thus the proposed RCP can shorten the DSP development cycle and improve the portability and modularity of program.

DSP based receiver implementation for OFDM acoustic modems

Significant progress has been made recently on the use of multicarrier modulation in the form of orthogonal frequency division multiplexing (OFDM) for high data rate underwater acoustic communications. In this paper, we present implementation results of OFDM acoustic modems under different settings with either one or two parallel data streams transmitted, whose data rate is 3.2 KB/s or 6.4 KB/s, respectively, with QPSK modulation, rate-1/2 channel coding, and signal bandwidth of 6 kHz. To achieve real time operation, the processing time for each OFDM block shall be (much) less than the block duration of 210 ms. We first implement the receiver algorithms on a floating point TMS320C6713 DSP development board, running at 225 MHz. With convolutional coding, the per-block processing time is about 38 ms and 77 ms for single-input single-output (SISO) and multi-input multi-output (MIMO) settings, respectively, where there are two transmitters and two receivers in the latter case. With nonbinary low-density parity-check (LDPC) coding, which gains about 2 dB in error performance relative to convolutional coding, the per-block processing time increases to 50 ms and 101 ms for SISO and MIMO settings, respectively. We have also implemented the receiver algorithms using a fixed-point TMS320C6416 DSP development board, where the DSP core runs at 1 GHz. The per-block processing time reduces by two thirds with negligible performance degradation.

Research of IRFPA Non-uniformity Real-Time Correction Based on SOPC

<b>N</b>on-uniformity of infrared focal plane arrays (IRFPA) decreases the quality of the infrared imaging system greatly, so it is necessary to correct non-uniformity. Now the scene-based correction is being the focus of the study at home and abroad. Firstly, researching on normalized BP artificial neural network correction method in this paper, and then building a SOPC system on Altera's Stratix II EP2S60 DSP Development Board to realize the normalized BP real-time correction non-uniformity. The simulation results show that the SOPC system would meet the requirements of real-time correction. At the same time, the other method could be better to upgrade.

A Parametrically Amplified MEMS Gyroscope

The applicability of parametric amplification of either the primary and secondary vibration modes of a MEMS gyroscope, shown in Fig.1 is investigated experimentally in this paper. All control schemes have been implemented digitally onto a SHARC DSP development board. Parametric gains in excess of 80, which correspond to multiplication of the Q-factor by a factor of 80, are demonstrated experimentally for open-loop operation of the primary mode and are shown in Fig. 2. For open-loop operation it is shown that amplitude limiting nonlinearities become important as the vibration amplitude increases (see Figs.3) and that parametric amplification in excess of 80 can be only be achieved by further reducing the harmonic forcing amplitude. In many applications it is desirable to have as high a Q-factor as possible. The rate gyroscope is one application were active control of the Q-factor is extremely pertinent. If applied to the primary mode then it permits reduced forcing levels and hence contamination from “feedthrough”. If applied to the sense mode then the Coriolis force is effectively amplified. Parametric amplification of the secondary mode of the gyroscope is a challenging problem but it has the potential to improve the performance of MEMS rate gyroscope but an order of magnitude. In operation as a rate gyroscope it is important to maintain the amplitude of the primary mode of vibration at a constant level. For the case of a parametrically amplified primary mode the amplitude control circuit automatically adjusts the parametric excitation parameters to ensure the required parametric gain is achieved whilst at the same time reducing the amplitude of the harmonic forcing. In closed loop parametric amplification of the primary mode by a factor 20 have been demonstrated. Experimental results obtained from the amplified primary mode are shown in Fig.4.