Features
- 75 MSPS Input Data Rate
- 16-Bit Data Input; Offset Binary or 2's Complement Format
- Spurious Free Dynamic Range Through Modulator >102dB
- Frequency Selectivity: 0.006Hz
- Identical Lowpass Filters for I and Q
- Passband Ripple: 0.04dB
- Stopband Attenuation: >104dB
- Filter -3dB to -102dB Shape Factor: 1.5
- Decimation Factors from 32 to 131,072
- IEEE 1149.1 Test Access Port
- HSP50016-EV Evaluation Board Available
Description
Support is limited to customers who have already adopted these products.
The Digital Down Converter (DDC) is a single chip synthesizer, quadrature mixer and lowpass filter. Its input data is a sampled data stream of up to 16 bits in width and up to a 75 MSPS data rate. The DDC performs down conversion, narrowband low pass filtering and decimation to produce a baseband signal. The internal synthesizer can produce a variety of signal formats. They are: CW, frequency hopped, linear FM up chirp, and linear FM down chirp. The complex result of the modulation process is lowpass filtered and decimated with identical real filters in the in-phase (I) and quadrature (Q) processing chains. Lowpass filtering is accomplished via a High Decimation Filter (HDF) followed by a fixed Finite Impulse Response (FIR) filter. The combined response of the two stage filter results in a -3dB to -102dB shape factor of better than 1. 5. The stopband attenuation is greater than 106dB. The composite passband ripple is less than 0. 04dB. The synthesizer and mixer can be bypassed so that the chip operates as a single narrow band low pass filter. The chip receives forty bit serial commands as a control input. This interface is compatible with the serial I/O port available on most microprocessors. The output data can be configured in fixed point or single precision floating point. The fixed point formats are 16, 24, 32, or 38-bit, Two's complement, signed magnitude, or offset binary. The circuit provides an IEEE 1149. 1 Test Access Port.
Applications
- Cellular Base Stations
- Smart Antennas
- Channelized Receivers
- Spectrum Analysis
- Related Products: HI5703, HI5746, HI5766 A/Ds
| Part Number | Status | Samples | Stock | Package | Carrier Type |
|---|---|---|---|---|---|
| HSP50016JC-52 | Obsolete | N/A | In Stock | PLCC | Tube |
Filters
Applied Filters
- End Of Life NoticePDF 226 KB PLC16037 Apr 12, 2016
- Application NotePDF 561 KB an9401 May 09, 2000AI-generated Summary: The document explains reducing the minimum decimation factor of the HSP50016 Digital Down Converter (DDC) by using a rate change configuration involving sample rate expansion and interpolation. It details the modulation and filtering process, including the use of a digital local oscillator, halfband decimation filters, and scaling multipliers to compensate gain. An example demonstrates decimation by 8, showing how zero-padding and lowpass filtering manage spectral images and power loss, maintaining dynamic range through signal scaling.
- Application NotePDF 375 KB an9657 Apr 29, 2000AI-generated Summary: The document explains various binary code formats used in data conversion, including Offset Binary, 1's Complement, 2's Complement, and Sign Magnitude. It illustrates these formats by plotting cosine waveforms digitally. Additionally, it provides important legal and usage notices from Renesas Electronics, covering product liability, warranty disclaimers, quality grades, safety responsibilities, environmental compliance, and export control regulations. Contact information for global Renesas sales offices is also included.
- Application NotePDF 524 KB an9603 Apr 28, 2000AI-generated Summary: Digital filters process signals by manipulating sampled data using two main types: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR). FIR filters have only zeros and are always stable with linear phase response, while IIR filters include feedback, offering sharper transitions but potential stability issues. Filter design involves specifying ideal responses, creating floating-point coefficients, and quantizing them for fixed-point implementation. Decimation reduces sampling rates by discarding samples, improving efficiency, whereas interpolation increases sampling rates by inserting zeros and filtering to preserve the signal spectrum.
Recommended Documents (1)
Datasheets (1)
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- Application NotePDF 561 KB an9401 May 09, 2000AI-generated Summary: The document explains reducing the minimum decimation factor of the HSP50016 Digital Down Converter (DDC) by using a rate change configuration involving sample rate expansion and interpolation. It details the modulation and filtering process, including the use of a digital local oscillator, halfband decimation filters, and scaling multipliers to compensate gain. An example demonstrates decimation by 8, showing how zero-padding and lowpass filtering manage spectral images and power loss, maintaining dynamic range through signal scaling.
- Application NotePDF 375 KB an9657 Apr 29, 2000AI-generated Summary: The document explains various binary code formats used in data conversion, including Offset Binary, 1's Complement, 2's Complement, and Sign Magnitude. It illustrates these formats by plotting cosine waveforms digitally. Additionally, it provides important legal and usage notices from Renesas Electronics, covering product liability, warranty disclaimers, quality grades, safety responsibilities, environmental compliance, and export control regulations. Contact information for global Renesas sales offices is also included.
- Application NotePDF 524 KB an9603 Apr 28, 2000AI-generated Summary: Digital filters process signals by manipulating sampled data using two main types: Finite Impulse Response (FIR) and Infinite Impulse Response (IIR). FIR filters have only zeros and are always stable with linear phase response, while IIR filters include feedback, offering sharper transitions but potential stability issues. Filter design involves specifying ideal responses, creating floating-point coefficients, and quantizing them for fixed-point implementation. Decimation reduces sampling rates by discarding samples, improving efficiency, whereas interpolation increases sampling rates by inserting zeros and filtering to preserve the signal spectrum.
Application Notes & White Papers (3)
- End Of Life NoticePDF 226 KB PLC16037 Apr 12, 2016
Product Notices (PCN, EOL, etc) (1)
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