AU2007200170B2 - Communication method and apparatus - Google Patents

Description

Our Ref:20151571 P/00/011 Regulation 3:2

AUSTRALIA

Patents Act 1990

ORIGINAL

COMPLETE SPECIFICATION STANDARD PATENT Applicant(s): Inmarsat Global Limited 99 City Road London EClY lAX United Kingdom Address for Service: Invention Title: DAVIES COLLISON CAVE Patent Trade Mark Attorneys 255 Elizabeth Street Sydney, New South Wales, Australia, 2000 Communication method and apparatus The following statement is a full description of this invention, including the best method of performing it known to me:- 5951 Communication Method and Apparatus The present invention relates to a method, apparatus, program and/or signal for data communication over a channel that is susceptible to interference. Particularly, but not exclusively, the present invention relates to a frame synchronisation technique using forward error correction (FEC).

FEC techniques have been developed which allow a very low signal energy-tonoise ratio One example is 'Turbo' coding as described in 'Near Shannon Limit error-correcting coding and decoding: Turbo codes' by C. Berrou, A. Glavieux and P.

Thitimajshima, Proc. IEEE ICC, Geneva, May 1993. However, these FEC techniques require the start and end boundaries of the data transmission to be defined precisely by the receiver before the FEC decoding process starts. The detection of the transmission boundaries is known as frame synchronisation or frame sync.

Frame sync is one of the first operations in the demodulation process; usually, the demodulation process is followed by the FEC process, so that there is a time separation between the frame sync and the FEC process. Within this time separation, frame sync needs to be established successfully with the minimum required by the FEC process. Known frame sync techniques, as described for example in 'Optimum Frame Synchronization', by J. L. Massey, IEEE Trans. Cormnun., vol. 20, no. 2, April 1972 and 'Frame Synchronization Techniques', by R. Scholtz, IEEE Trans. Commun., vol. 28, no. 8, August 1980, achieve frame sync at a low E,No by means of lengthy Unique Words specially designed data patterns which are added to each packet transmission. The unique words occupy bandwidth which could otherwise be used to carry user or signalling data.

The use of lengthy unique words is particularly costly of bandwidth in multiuser environments where channel conditions vary over time and per user, such that each burst transmission requires independent acquisition at the receiver. One such environment is a TDMA scheme where it is desirable to use small burst lengths to minimize latency and for efficient resource management; however, this leads to a high ratio of framing overhead to data within bursts.

It would be desirable to find a frame sync technique which improves the data transmission efficiency without sacrificing frame sync quality.

The paper 'Decoder-assisted Frame Synchronisation for Turbo Coded Systems', by H. Howlader, Y. Wu and B. Woerner, 2 d International Symposium on Turbo Codes, Brest, France, September 2000, discloses a decoder-assisted frame sync technique in which a synchronisation word is embedded in a packet of data before encoding. The synchronisation word is preceded by a number of flush bits which are necessary to bring the Turbo decoding trellis to a known state. The synchronisation word then guides the decoding trellis through a sequence of known states, if the correct synchronisation has been detected.

According to one aspect of the present invention, there is provided a method of encoding data for transmission over a channel, in which the data contents of a frame or burst are combined with a unique word and the unique word is input to a systematic convolutional encoder before any of the data. The state of the convolutional encoder is reset before the contents of each burst or frame are encoded. In this way, the unique word is convolutionally encoded independently of the data, without using flush bits.

This avoids the overhead associated with transmitting flush bits. This aspect of the invention also extends to a corresponding decoding method and to a signal encoded by the method.

According to another aspect of the present invention, there is provided a method of detecting the synchronisation timing of a received burst or frame, in which a received signal including a forward error corrected unique word is decoded using an iterative technique, and the detected number of errors in the unique word after each iteration is used to determine whether the assumed synchronisation timing is correct.

Specific embodiments of the present invention will now be described with reference to the accompanying drawings, in which: Figure 1 is a graph showing the probability of packet loss due to frame sync.

failure as a function of the threshold number of bits required to be equal to unique word bits in order to detect frame sync, in a prior art frame sync technique; Figure 2 is a graph showing the probability of packet loss due to frame sync failure as a function of the threshold number of bits required to be equal to unique word bits in order to detect frame sync, in a technique in an embodiment of the present invention; Figure 3 is a diagram showing the composition of a transmitted frame in an embodiment of the present invention; Figure 4 is a diagram of the demodulation and decoding stages performed by a receiver in an embodiment of the present invention; Figure 5 is a table showing the output of a rate 1/3 encoder in a specific embodiment of the present invention; Figure 6 is a table showing the output of a rate V2 encoder in a specific embodiment of the present invention; and Figure 7 is a table of sample unique word and parity bit patterns at the start and end of a frame.

In order to explain the advantages of embodiments of the present invention, a prior art frame sync technique will first be described.

In the prior art frame sync technique, the start of a frame of transmitted data is detected by comparing the received bit sequence with a known unique word pattern at the receiver. An N symbol unique word is assumed to be detected if the receiver detects at least n bits equal in value to the unique word pattern within a window of N bits. The criteria for choosing a suitable value of n are the probability that the unique word is present but is not detected and the probability that the unique word is detected but is not actually present, for any random sequence of symbols. The possible events are summarised in Table 1 below: Table 1: Frame Sync Events R UW Sent UW Not Sent Tx Accept UW Correct False detection Reject UW Missed Detection Correct The probability of missed detection increases with: a) Increasing threshold n b) Increasing symbol error rate (decreasing and c) Increasing length of the unique word.

If a unique word is missed, then the whole packet is lost by the receiver.

The probability of false detection (Pf) increases with: a) Decreasing threshold n b) Decreasing the length of the unique word; and c) Increasing the number of possible unique word patterns.

A false alarm does not necessarily lead to a data packet loss if the receiver has the resources to demodulate and FEC decode the data every time the frame sync modules assumes that the unique word has been detected. However, this leads to an unacceptable level of complexity in the receiver, so in practice a false alarm may lead to loss of the current packet and possibly following packets. This is because a false alarm will certainly lead to an FEC error, but the receiver cannot detect whether the error was caused by false packet boundaries or bad channel conditions, and may attempt to decode again within the pre-assigned time slot for that packet. Thus, if receiver resources are limited, up to a number X of packets may be lost for every false alarm.

In many cases, the unique word indicates not only the frame boundary but other information, such as packet type; in those cases, there is a set of Y possible unique words. The receiver compares the received unique word to all possible unique words in the set and decides frame sync and packet type based on the best match. The probability Pm does not vary with the number Y, but Pr increases linearly.

The probability Ps of packet loss due to frame sync failure is given by the following equation: P, n,E X Y P n) (1) Figure 1 shows an example of P, as a function of n with N=64, X=Y=I, over a range of EN,. At the low end of ENo the global minimum value of P, is 0.01, due to the added term Pf.

The probability Pp of packet error due to false sync and/or FEC decoder error is given by: P E, N) P, No) Pfc N) (2) where Pfre is the packet error probability of the FEC decoder.

Hence, in order to minimize P, for a given Es/No value, one has to mininize Pn, Pr and Prfc. It is common practice to set Prfe at a desired level and then choose Pm and Pf at least an order of magnitude less than Pfec to ensure that the overall performance is not degraded due to false sync. Unfortunately, for the reasons stated above, Pm and Pf have contradictory dependencies and can be minimized jointly only by using long unique words see 'Elements of Digital Satellite Communication', by W. W. Wu, Computer Science Press, 1984. It is mainly for this reason that long unique words are used in practice.

Embodiments of the present invention eliminate the dependence of Pp on Pf by providing a mechanism by which the receiver can detect a false detection. The overall receiver complexity may also be reduced by allowing detection of false alarms well before the FEC process has been fully completed. Hence, Ps is now given by: P, (N E, E/No)= E, /N o (3) Figure 2 shows Ps as a function of n with N=64 using an embodiment. The independence of Ps on Pf has eliminated the inrumization floor; for any value of Ps an appropriate value of n can be chosen, even for the lowest values of Ej/N o With these embodiments, Pp is given by: P, No)= Pf,(E, /No) (4) By choosing appropriate values for N and n, one can achieve the requirement Pm<<Pfec even for small values of N, and hence with short unique words.

In the embodiments, the unique word is treated as part of the data for the purposes of forward error correction. Hence, the unique word detection benefits from the FEC process to remove unique word bit errors, which makes the frame sync decision definitive. In addition, the embodiments allow the use of decoder assisted techniques such as described in 'Improving frame synchronization when using convolutional codes' by P. Robertson, Proc. IEEE GLOBECOM, December 1993; the paper by Howlader, Wu and Woemer referenced above; and 'Frame synchronization of convolutionally encoded sequences for packet transmission', by M. Howlader and B.

Woerner, Proc. IEEE ICC, New Orleans, June 2000. These techniques may further reduce the value of Pm.

The technique comprises in outline the following steps: a) The receiver searches for the presence of an N-symbol long unique word pattern and makes decisions based on some threshold n derived from the required Pm.

b) Every instant the receiver assumes that the unique word is detected, it proceeds to demodulation and FEC processing. Optionally, decoder-assisted techniques such as referenced above may be used to enhance the reliability of the unique word acquisition.

c) After each iteration of the FEC decoder, the detected unique word pattern is compared to the expected one and the frame sync hypothesis is tested according to two possible cases: a. Case 1 If the frame sync assumption is correct, the FEC should improve the reliability of all the data, including the unique word. If the unique word mismatched data is reduced, this is a strong indication that the unique word has been correctly found. In this case, the receiver completes the FEC process and outputs the data.

b. Case 2 If the frame sync assumption is wrong, the amount of unique word mismatched data should either increase, or not change as the FEC process attempts to correct the wrong data decisions. This indicates that the frame sync failure was caused by a false detection.

In this case, the receiver abandons the FEC process and returns to frame sync search mode.

The frame sync hypothesis can be tested in one of two ways: i) Sequentially, each time a possible frame sync appears in steps a) and b); or ii) Selecting from a list of possible frame sync hypotheses over a finite interval, sorted according to their strength, where steps a) and b) are replaced by a list of metrics described in the Massey, Scholtz or Howlader, Wu and Woerner papers referenced above.

The sequential test method requires greater computational load but gives a result with minimum delay. The hierarchical list method reduces computational load but incurs delay due to the creation of the list.

A specific embodiment will now be described with reference to Figure 3. In this example, the FEC technique is Turbo coding with a variable coding rate and the modulation scheme is BPSK for the unique word section and QPSK for the data section.

However, other combinations of FEC and modulation may be used. In general, the unique word and data can be carried using any modulation scheme, such as m-ary PSK or mn-ary QAM, for example.

The unique word may be selected from a family of unique words, such as Gold or Kasarri codes or other pseudo-noise (PN) sequences, according to criteria such as (C low auto-correlation and cross-correlation, large number of transitions, or minimum d.c.

§1 characteristics. Only one unique word may be used, or one of a set of unique words may Sbe selected to convey information in the unique word, such as packet type.

The selected unique word is added to the data d and input before the data d to an FEC encoder comprising a first recursive convolutional encoder C1 and a second recursive convolutional encoder C2 in parallel, with a bit interleaver BI connected before the input to the latter. The first encoder Cl outputs first parity bits p and the second encoder C2 encodes second parity bits q, which are fed to a puncturing mapper PM. The puncturing mapper outputs punctured first and second parity bits p' and q according to a puncturing scheme which depends on the variable coding rate.

The bit interleaver BI preferably has a capacity sufficient to store the selected unique word and the data bits d, unless a constraint length is applied, as described for example in WO 99/34521. After each frame is encoded, the FEC encoder is reset to an initial state so that the encoding of each frame is independent.

The data bits d and the first and second punctured parity bits p'and q ae input to a QPSK modulator M which outputs channel symbols having I and Q components.

The QPSK symbols are transmitted in the middle of the frame F.

The unique word data bits are BPSK modulated by a BPSK modulator BM and the BPSK symbols transmitted as the first 32 symbols of the frame. The first parity bits UWp generated from the unique word data bits are also BPSK modulated and the first 8 BPSK symbols transmitted after the unique word data symbols UW. The remaining 24 BPSK symbols of the unique word first parity bits UWp are transmitted at the end of the frame F.

The unique word data bits UW and the data bits d are interleaved by the bit interleaver BI and input to the second coder C2 to generate the second parity bits q, which are incorporated in the data symbols D in the middle of the frame. However, the symbols may be assembled in the frame F in another order, so long as the order is known at the receiver.

Since a systematic FEC technique is used, the advantageous synchronisation properties of the unique word are preserved in the transmitted signal. Additionally, the incorporation of the unique word bits into the first and second parity bits p and q allows the correction of unique word bits by the receiver, depending on whether correct frame sync has been established.

One specific example is illustrated in Figure 5, which shows the output bits of a rate 1/3 Turbo coder in the order in which they are input to the puncturing mapper PM.

The first 32 of the data bits d and first parity bits p, as highlighted in Figure 5, are BPSK modulated and inserted at the beginning and end of the frame F as shown in Figure 3.

However, the modulated symbols may occupy other positions within the frame unless a particular order is required in order to reduce the delay of the encoding and modulating stage, as described for example in WO 99/34521.

Another specific example is illustrated in Figure 6, which shows the output of a rate z/2 Turbo coder in the order as output to the puncturing mapper PM, in which the shaded bits are punctured. According to the puncturing map, odd-numbered first parity bits p are punctured except in the range p/ -P3, which are transmitted so as to give 1/3 coding and therefore better protection to the unique word. This achieves a unique word construction independent of the coding rate.

Figure 7 shows, in hexadecimal, sample sequences of possible unique word bits UW and first parity bits UWp at the beginning and end of a frame.

Figure 4 is a schematic diagram of the process steps performed by a receiver in accordance with the present invention. The received signal is demodulated by a unique word demodulator UD, which may be coherent or non-coherent, and is optimised for BPSK demodulation of the unique word signal. The demodulated unique word symbols are processed by a unique word correlator UC which generates a list of possible frame sync positions in time or hypotheses, together with a measure of their relative strengths.

The unique word correlator may use additional rules, such as Massey's rule.

Where the unique word is variable to convey signalling information, the unique word correlator correlates the demodulated symbols with each of the possible unique words and generates a strength for each possible unique word.

The possible hypotheses H] to HN are sorted by a sorter S according to their strengths. The hypotheses H are processed in order of their hypothesis strength, and for each processed hypothesis the receiver demodulates the received frame using a demodulator D and decodes the demodulated data using an iterative FEC decoder FD corresponding to the FEC coder used to encode the signal. For Turbo decoding, either P,%WPD CSW(W\Stcri~ lonsk 7 S2 S7S3 DIV spec dc 28/11/06 Q -9tq -n the MAP or SOVA algorithms may be used by the FEC decoder FD. After each iteration

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of the FEC decoding algorithm, the number of unique word errors is compared with the number of unique word errors detected before that iteration, by a verification process V. If the hypothesis is correct, as indicated by the arrow C, the number of errors should decrease over one or more iterations. If this is the case, the decoded data is output at an output stage (I O and the decoding step is complete for the current frame.

If the number of unique word errors increases or stays the same after one or more Sdecoding iterations, the hypothesis is judged incorrect, as indicated by the arrow I, and the hypothesis H of the next highest strength is selected for processing. The hypotheses are processed in order of strength until a correct hypothesis is found, or all of the hypotheses have been processed without finding a correct one. In the latter case, the frame cannot be decoded, and is discarded at a failure stage FS.

Figure 4 shows multiple demodulating, decoding and verification steps, but this does not necessarily imply that there are multiple demodulators, decoders and verifiers.

While the use of Turbo codes has been described above, other systematic and/or convolutional codes may be used to achieve some or all of the effects of the invention.

Although the encoding and decoding stages are illustrated in terms of discrete processes, either of these stages may be performed by a single processor, such as a DSP. A computer program may be provided for execution on the processor so as to perform the encoding or decoding processes. The computer program may be stored on a suitable physical carrier, such as a disc, or transmitted on a suitable signal carrier.

Throughout this specification and the claims which follow, unless the context requires otherwise, the word "comprise", and variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated integer or step or group of integers or steps but not the exclusion of any other integer or step or group of integers or steps.

The reference in this specification to any prior publication (or information derived from it), or to any matter which is known, is not, and should not be taken as, an acknowledgement or admission or any form of suggestion that that prior publication (or information derived from it) or known matter forms part of the common general knowledge in the field of endeavour to which this specification relates.

Claims (9)

1. A method of generating a frame of forward error corrected data, comprising: the steps of receiving data and convolutionally encoding said data together with a synchronisation pattern (UW) in a first encoding step, wherein said synchronisation pattern (UW) is input before said data is input, so as to generate as output a first encoded output which is dependent on the synchronisation pattern (UW) and independent of the data and a second encoded output which is dependent on said data wherein the method is characterised by the steps of interleaving said data together with the synchronisation pattern (UW) in an interleaving step; convolutionally encoding the output from the interleaving step in parallel to the first encoding step; and generating said frame of forward error corrected data from said output of the first and second encoding step and from said synchronisation pattern (UW) in unencoded form.

2. A method according to claim 1, wherein the encoding steps begin from a predetermined initial state before the data and synchronisation pattern (UW) are encoded.

3. A method according to claim 1 or 2, including puncturing some of the second encoded output so that it is not included in said generated frame, while including all of said first encoded output in said generated frame.

4. A method according to any preceding claim, wherein said synchronisation pattern (UW) is selected from a group comprising the bit patterns of the hexadecimal numbers E4564ADA, BED8B3EA, F2F5F496, C9113642, F9A42BB1, D4E35729, 4CB9D9D1, 6AAF7A6E, AE7E4BB5, 514BB8BA, B5896CCD, A87BODA6, 5A1A679D, 61FEA549, A32AD281, 775D1B05 and DFB2880E. Apparatus for generating a frame of forward error corrected data, comprising: a first convolutional encoder (Cl) arranged to encode data together with a synchronisation pattern wherein the encoder (Cl) is arranged such that said synchronisation pattern (UW) is input to the convolutional encoder (Cl) before said data is input, so as to generate as output a first encoded output which is dependent on the synchronisation pattern (UW) and independent of the data and a second encoded output which is dependent on said data a frame generator, characterised in that the apparatus further comprises a bit interleaver (BI) arranged to interleave the data and the synchronisation pattern and a second convolutional encoder (C2) arranged to encode the data output from the bit interleaver; the apparatus further being characterised in that the frame generator is arranged to generate said frame of forward error corrected data from the output of said first and second encoder (C1,C2) and from said synchronisation pattern (UW) in unencoded form.

6. Apparatus according to claim 5, wherein the encoder is arranged to begin encoding the data and synchronisation pattern (UW) from a known state.

7. Apparatus according to claim 5 or 6, wherein said frame generator is arranged to puncture selected portions of the second encoded output so that it is not included in said generated frame while including all of said first encoded input in said generated frame

8. Apparatus according to any one of claims 5 to 7, wherein said synchronisation pattern (UW) is selected from a group comprising the bit patterns of the hexadecimal numbers E4564ADA, BED8B3EA, F2F5F496, C9113642, F9A42BBI, D4E35729, 4CB9D9D1, 6AAF7A6E, AE7E4BB5, 514BB8BA, B5896CCD, A87BODA6, 5A1A679D, 61FEA549, A32AD281, 775D1B05 and DFB2880E. P:\WPDOCS\AKW\Spcfciicaons%782537 83 NEW DIVdoc.1501/2007 -12-

9. A method of generating a frame of forward error corrected data, substantially as hereinbefore described with reference to the accompanying figures.

10. Apparatus for generating a frame of forward error corrected data, substantially as hereinbefore described with reference to the accompanying figures.