Decoderless bit-error-rate estimation for convolutionally encoded transmissions in wireless systems
In a UMTS (universal mobile telecommunications system) based system, a wireless receiver implements “effective signal-to-noise (E b /N o ) based BER estimation.” In particular, the wireless receiver comprises a rake receiver, a processor and memory. The rake receiver processes a received signal and provides signal-to-noise ratio values for each slot of each received frame of the received signal. The processor converts these signal-to-noise ratio values for each received frame into an effective signal-to-noise ratio value for the received signal. The processor then uses the effective signal-to-noise ratio value as a pointer, or index, into a look-up table (stored in the memory) and retrieves a BER estimate therefrom.
1. A method for use in wireless equipment, the method comprising the steps of:
receiving a convolutionally-encoded wireless signal comprising a plurality of frames;
processing the received wireless signal to generate a signal-to-noise ratio value for each frame of the received wireless signal without convolutionally decoding the signal; and
providing a Bit-Error-Rate (BER) estimate for the received wireless signal as a function of the signal-to-noise ratio values, the providing step further comprising generating an effective signal-to-noise ratio value from the signal-to-noise ratio values; and
determining a value for the BER estimate from the effective signal-to-noise ratio value.
2. The method of claim 1 wherein the providing step further comprises the step steps of:
retrieving, from a look-up table stored in a memory, a value for the BER estimate as a function of the effective signal-to-noise ratio value.
3. A method for use in wireless equipment, the method comprising the steps of:
processing a received, convolutionally-encoded wireless signal comprising a plurality of frames to provide a signal-to-noise ratio value for each frame over a time period without convolutionally decoding the signal;
generating an effective signal-to-noise ratio value from the signal-to-noise ratio values;
determining a Bit-Error-Rate (BER) estimate for the received wireless signal as a function of the effective signal-to-noise ratio value.
4. The method of claim 3 wherein the determining step uses the effective signal-to-noise ratio value as an index into a table to retrieve the BER estimate therefrom.
5. Apparatus for use in wireless equipment, the apparatus comprising:
a receiver element for demodulating a convolutionally-encoded received wireless signal comprising a plurality of frames and for providing a signal-to-noise ratio value for each frame of the received wireless signal without convolutionally decoding the signal; and
a processor for providing a Bit-Error-Rate (BER) estimate for the received signal as a function of the signal-to-noise ratio values by determining an effective signal-to-noise ratio value from the signal-to-noise ratio values, and determining the BER estimate as a function of the effective signal-to-noise ratio value.
6. The apparatus of claim 5 wherein the processor further retrieves, from a look-up table stored in a memory, the BER estimate as a function of the effective signal-to-noise ratio value.
7. Apparatus for use in wireless equipment, the apparatus comprising:
a RAKE receiver for demodulating a convolutionally-encoded received wireless signal comprising a plurality of frames and for providing a signal-to-noise ratio value for each frame of the received wireless signal before convolutionally decoding the signal;
a convolutional decoder for processing the demodulated received wireless signal to provide a decoded bit stream; and
a processor for providing a Bit-Error-Rate (BER) estimate for the received signal as a function of the signal-to-noise ratio values by determining an effective signal-to-noise ratio value from the signal-to-noise ratio values, and determining the BER estimate as a function of the effective signal-to-noise ratio value.
8. The apparatus of claim 7 wherein the processor further retrieves from a look-up table stored in a memory, the BER estimate as a function of the effective signal-to-noise ratio value.