基于APM32F4的ADC采集VGA信号的实现方案
本帖最后由 Peixu 于 2024-12-4 15:21 编辑1. VGA信号的基本概念VGA信号包括三个主要部分: **RGB信号**:分别代表红色、绿色和蓝色的模拟信号,这些信号的电平决定了显示图像的颜色。 **水平同步信号(HSYNC)**:在每行像素结束时,提供一个短脉冲信号,指示显示设备开始新的一行。 **垂直同步信号(VSYNC)**:在一帧结束时提供脉冲信号,指示显示设备开始新的一帧。对于1920x1080分辨率的60Hz显示,VGA信号的有效采样时间和采样率计算如下: 每行有效像素时间为12.92微秒。 每行采集的像素为40个,因此每个像素的采样时间为323纳秒。 所以在我们在这12.82us的时间尽可能用ADC去多采集信号。这样才能达到更好的效果。
2. 设计思路要实现VGA信号的ADC采集,主要步骤如下: **信号处理**:通过电路设计,将VGA信号的RGB信号和同步信号连接到APM32F4的ADC引脚,并进行必要的电平转换。 **ADC配置**:设置APM32F4的ADC参数,以便进行高速采样。 **DMA配置**:为了提高数据传输的效率,将ADC采集的数据通过DMA(直接存储器访问)方式传送至内存。 **外部中断处理**:使用外部中断来触发ADC采集,以确保在每个HSYNC信号到来时进行采样。 **数据处理**:在主循环中处理采集的数据,进行显示或存储。
3. 硬件连接3.1 信号连接将VGA信号的RGB信号和同步信号连接至APM32F4的ADC引脚和外部中断引脚: **R信号**:连接至ADC通道0(PA3)。 **G信号**:连接至ADC通道1(PA4)。 **B信号**:连接至ADC通道2(PA5)。 **HSYNC信号**:连接至外部中断(PC10)。 **VSYNC信号**:连接至另一个外部中断(PC11)。
3.2 电路设计在连接VGA信号和APM32F4之间,建议使用以下电路设计: **低通滤波器**:在ADC输入引脚前添加低通滤波器,以减少高频干扰。 **电平转换电路**:确保输入信号在APM32F4的ADC输入范围内(通常是0-3.3V)。
4. 软件实现4.1 ADC初始化配置ADC以采集RGB信号:void ADC_Init(void) {
GPIO_Config_T gpioConfig;
ADC_Config_T adcConfig;
ADC_CommonConfig_T adcCommonConfig;
RCM_EnableAHB1PeriphClock(RCM_AHB1_PERIPH_GPIOA);
// GPIO配置
GPIO_ConfigStructInit(&gpioConfig);
gpioConfig.mode = GPIO_MODE_AN;
gpioConfig.pupd = GPIO_PUPD_NOPULL;
gpioConfig.pin = GPIO_PIN_3 | GPIO_PIN_4 | GPIO_PIN_5;
GPIO_Config(GPIOA, &gpioConfig);
RCM_EnableAPB2PeriphClock(RCM_APB2_PERIPH_ADC1);
ADC_Reset();
// ADC通用配置
adcCommonConfig.mode = ADC_MODE_INDEPENDENT;
adcCommonConfig.prescaler = ADC_PRESCALER_DIV2;
ADC_CommonConfig(&adcCommonConfig);
// ADC配置
adcConfig.resolution = ADC_RESOLUTION_12BIT;
adcConfig.scanConvMode = DISABLE; // 单通道
adcConfig.continuousConvMode = ENABLE; // 连续模式
adcConfig.dataAlign = ADC_DATA_ALIGN_RIGHT;
adcConfig.extTrigEdge = ADC_EXT_TRIG_EDGE_FALLING;
adcConfig.extTrigConv = ADC_EXT_TRIG_CONV_EINT_11; // 触发方式为外部中断
adcConfig.nbrOfChannel = 1;
ADC_Config(ADC1, &adcConfig);
// 配置ADC通道
ADC_ConfigRegularChannel(ADC1, ADC_CHANNEL_3, 1, ADC_SAMPLETIME_3CYCLES); // R
ADC_ConfigRegularChannel(ADC1, ADC_CHANNEL_4, 1, ADC_SAMPLETIME_3CYCLES); // G
ADC_ConfigRegularChannel(ADC1, ADC_CHANNEL_5, 1, ADC_SAMPLETIME_3CYCLES); // B
}
4.2 DMA初始化为ADC配置DMA:
void DMA_Init(void)
{
DMA_Config_T dmaConfig;
RCM_EnableAHB1PeriphClock(RCM_AHB1_PERIPH_DMA2);
dmaConfig.peripheralBaseAddr = ADC_DR_ADDR;
dmaConfig.memoryBaseAddr = (uint32_t)R;// 初始地址指向第一行
dmaConfig.dir = DMA_DIR_PERIPHERALTOMEMORY;
dmaConfig.bufferSize = SAMPLES_PER_CHANNEL;// 每次传输的数据量
dmaConfig.peripheralInc = DMA_PERIPHERAL_INC_DISABLE;
dmaConfig.memoryInc = DMA_MEMORY_INC_ENABLE;
dmaConfig.peripheralDataSize = DMA_PERIPHERAL_DATA_SIZE_HALFWORD;
dmaConfig.memoryDataSize = DMA_MEMORY_DATA_SIZE_HALFWORD;
dmaConfig.loopMode = DMA_MODE_CIRCULAR;// 使用普通模式
dmaConfig.priority = DMA_PRIORITY_HIGH;
dmaConfig.fifoMode = DMA_FIFOMODE_DISABLE;
dmaConfig.fifoThreshold = DMA_FIFOTHRESHOLD_HALFFULL;
dmaConfig.memoryBurst = DMA_MEMORYBURST_SINGLE;
dmaConfig.peripheralBurst = DMA_PERIPHERALBURST_SINGLE;
dmaConfig.channel = DMA_CHANNEL_0;
DMA_Config(DMA2_Stream0, &dmaConfig);
DMA_EnableInterrupt(DMA2_Stream0, DMA_INT_TCI**);// 开启传输完成中断
DMA_Enable(DMA2_Stream0);// 启用 DMA
}4.3 外部中断处理使用外部中断处理HSYNC信号:
void EINT15_10_IRQHandler(void) {
if (EINT_ReadIntFlag(EINT_LINE_10)) {
/* 启动 ADC DMA 采集 */
ADC1->STS = ~(uint32_t)ADC_FLAG_OVR;
ADC1->CTRL2_B.REGSWSC = BIT_SET;
while(RESET == DMA_ReadStatusFlag(DMA2_Stream0, DMA_FLAG_TCI**0));
DMA_ClearStatusFlag(DMA2_Stream0, DMA_FLAG_TCI**0);
DMA2_Stream0->SCFG_B.EN = DISABLE;
dmaCompleteFlag = 1;
HSync_cnt ++;
currentRow++;// 切换到下一行 //
if (currentRow >= HSync_MAX)
{
currentRow = 0;// 重置行号
}
DMA_ClearIntFlag(DMA2_Stream0, DMA_INT_TCI**0);
DMA_Switch(currentChannel,currentRow);
EINT_ClearIntFlag(EINT_LINE_10);
}
if (EINT_ReadIntFlag(EINT_LINE_11)) {
currentChannel++;
if (currentChannel >= 3) currentChannel = 0; // 切换通道
ADC_SwitchChannel(currentChannel);
EINT_ClearIntFlag(EINT_LINE_11);
}
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**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**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
4.4 数据处理在主循环中,处理采集到的数据:
int main(void) {
// 初始化相关模块
USART_Init();
ADC_Init();
DMA_Init();
APM_PBInit(BUTTON_KEY2, BUTTON_MODE_EINT); //中断行 PC10
APM_PBInit(BUTTON_KEY1, BUTTON_MODE_EINT); //中断场 PC11
while (1) {
if (dmaCompleteFlag)
{
dmaCompleteFlag = 0;
/* 处理采集到的数据 */
if (currentChannel == 0){
for (uint16_t row = 0; row < HSync_MAX; row++)
{
for (uint16_t i = 0; i < SAMPLES_PER_CHANNEL; i++)
{
printf("R[%d][%d] %d\r\n", row,i, R);
}
}
}
if (currentChannel == 1){
}
if (currentChannel == 2){
}
printf("\r\n");
}
}
}通过上述步骤,可以成功地使用APM32F4微控制器采集VGA信号。具体的使用可能需要根据特定需求对代码进行适当的修改和优化,以实现更好的性能和数据处理能力。通过采集VGA信号,可以为后续的图像处理、显示和分析提供数据支持。希望本方案能为您的项目提供参考和借鉴。
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